●Curriculum Vitae

Sirish L. Shah: C.V. Ph. D. University of Alberta 1977 M. Sc. UMIST (UK) 1973 B. Sc. Leeds (UK) 1971 PROFESSIONAL AFFILIATIONS ● PEng. ● Fellow of The Chemical Institute of Canada 1989 ● Member: CSChE, AIChE, IEEE

●Research (back to top)

Projects/Interests

Research Areas: Computer Process Control, Process Automation and Monitoring plus Performance Assessment, System Identification

Dr. Shah's research interests lie in the broad area of advanced process control algorithms and methods for monitoring process and controller performance.

Specifically, the focus of Dr. Shah's more recent research activity has been in the area of multivariate statistical analysis of plant data for control loop performance assessment, process monitoring, fault diagnosis, and development of new control-relevant identification algorithms for use in the design of model-based predictive controllers.

Overall the main contributions of some of the recent research projects have been:

● Development of a new multivariate, control-loop performance assessment software.

● Use of new multivariate statistical analysis techniques for process monitoring, system identification, fault diagnostics and controller synthesis.

● Provision of theoretical and experimental tuning guidelines to enhance the robustness of the on-line identification and control techniques.

● Development, evaluation and implementation of constrained multivariable adaptive controllers based on the LRPC framework including applications in the biomedical and biochemical areas.

KEYWORDS: Computer Process Control, Controller performance monitoring, Process monitoring, Fault detection and isolation, system identification; model-based predictive control

Research Sponsors/Collaborators (back to top)

NSERC - Natural Sciences and Engineering REsearch Council of Canada

Matrikon Consulting Ltd.

iCORE

Suncor

●Research People (back to top)

Group Members

Click here to view list of Dr. Shah's past graduate students and research fellows

Office Support
Marion Pritchard
marionp@ualberta.ca

●Research Opportunities (back to top)

Exciting research opportunities exist in the areas of process and performance monitoring for graduate students and post-doctoral research fellows. We offer a very stimulating environment where creativity and innovation are encouraged. Students will have an opportunity to take a wide variety of graduate level courses, from chemical and electrical engineering and the department of mathematical sciences, to strengthen their multidisciplinary skills. These courses are offered by world-leading experts. The cooperative spirit and the broad range of talent within the inter-disciplinary computer process control group inevitably leads to cross-fertilization and nurturing of many superb projects and ideas.

In summary, exciting research opportunities exist for students wishing to pursue graduate degrees and for qualified post-doctoral research fellows. Please contact the chair secretary (marionp@ualberta.ca) for more information.

Here is a selected sample of graduate level control courses that are currently offered:

CHE 573 Signal Processing
CHE 646 Process Dynamics and Computer Process Control
CHE 654 Optimization of Process Systems
CHE 662 Process Identification
CHE 664 Advanced Process Control
CHE 696 Special topics in Process Dynamics and Computer Control (e.g. Fault detection and identification)

EE 564 Fuzzy Systems
EE 566/662 Digital Control Systems
EE 660 Modern Control Theory
EE 661 Adaptive Control Systems
EE 663 Introduction to Robust Control
EE 666 Nonlinear Control Systems

Stat 479/679 Time-series Analysis
Stat 575 Multivariate Analysis

●Publications (back to top)

List of publications (updated August 14, 2007)

Books (and book chapters)

1. M.A.A.S. Choudhury, S.L. Shah, N.F. Thornhill, "Data-Based Detection and Diagnosis of Process Nonlinearities", Draft approved and book in preparation, to be published by Springer-Verlag in 2007
   
   
2. S. Ahmed, B. Huang, S.L. Shah, "Parameter and Delay Estimation from Non-Uniformly Sampled Data" Chapter in Book titled: 'Continuous-Time Model Identification from Sampled Data', by H. Garnier and L. Wang, Springer-Verlag, to appear in 2007
   
   
3. S.L. Shah, J.F. MacGregor (Editors), "Dynamics and Control of Process Systems 2004" (2-volumes) ; ISBN: 0 08 044297 8 ; Published by Elsevier Press, 2005
   
   

4. B. Huang, S.L. Shah, "Performance Assessment of Control Loops: Theory and Applications", Springer-Verlag , October 1999, ISBN: 1-85233-639-0
   
   

5. S.L. Shah, Y. Arkun (Editors), "Advanced Control of Chemical Processes 1997", Pergamon Press, February 1998

Patent Application (back to top)

1. Choudhury, M.A.A.S., Shah S.L., Thornhill, N. and Shook, D., "A Method for the Detection and Quantification of Valve Stiction", International application: Filing: June 30, 2005; Priority: July 2, 2004 (US provisional); Serial #: PCT/CA2005/001031; Publication #: WO 2006/002533 A1

Refereed Journal Publications (from 2000 onwards) (back to top)

1. Mahadevan, S. and S. L. Shah, “Fault detection and diagnosis in process data using One-Class Support Vector Machines”; In press with the Journal of Process Control, In press with the Journal of Process Control, 2009.


2. Chitralekha, S. B., S. L. Shah and J. Prakash, “Detection and quantification of valve stiction by the method of unknown input estimation”; In press with the Journal of Process Control, 2009.


3. Jampana, P.V.,S.L. Shah and R. Kadali, “Computer vision based interface level control in a separation cell”, Accepted for publication in Control Engineering Practice, 2009.


4. B. Ni, S.L. Shah, and D. Xiao. Time Delay Estimation for MIMO Dynamical Systems--with Time-Frequency Domain Analysis: In press with the Journal of Process Control, 2009.


5. Prakash  J., S. C. Patwardhan, and S. L. Shah, “Constrained Nonlinear State Estimation Using Ensemble Kalman Filters”; In press with Industrial Engineering Chemistry Research, (Publication of the American Chemical Society, 2009.


6. Danesh Pour, N., B. Huang and S.L. Shah, “Consistency of Noise Covariance Estimation in Joint Input-Output  Closed-loop Subspace Identification with Application in LQG Benchmarking”; In press with the Journal of Process Control, 2009.


7. Yang, F., D. Xiao and S.L. Shah, “ Optimal sensor location design for reliable fault detection in presence of false alarms”; In press with Sensors, 2009


8. Choudhury, M.A.A.S., N. Thornhill, N., M. Kano and S.L. Shah, "Stiction modeling", Chapter 2 of book titled: Detection and Diagnosis of Stiction in Control Loops State of the Art and Advanced Methods. Book to be published by Springer Verlag , 2009


9. Ahmed,S., B. Huang, S.L. Shah, Validation of continuous-time models with delay, Chemical Engineering Science, 64(3), 443-454, 2009.


10. Badwe, A.S., R.D. Gudi, R.S. Patwardhan, S.L. Shah and S.C. Patwardhan, ´ Detection of model-plant mismatch in MPC applications”, In presswith Journal of  Process Control, 2009


11. Slupsky, C. M., K.N. Rankin, H. Fu, D. Chang, B. H. Rowe, P. G. P. Charles, A. McGeer, D. Low,  R. Long, D. Kunimoto, M. B. Sawyer,  R. N. Fedorak,  D. J. Adamko, E. J. Saude, S.  L. Shah, and T. J. Marrie, “Pneumococcal Pneumonia: Potential for Diagnosis through a Urinary Metabolic Profile”, In press with the J of Proteom Research , 2009


12. Jiang, H. , S.L. Shah, and B. Huang, " Control Relevant On-line Model Validation Criterion Based on Robust Stability Conditions" , Canadian J. of Chemical Engineering, 86(5), 893-904, 2008.


13. Jiang, H., R. Patwardhan and S.L. Shah, ““Root case diagnosis of plant-wide oscillations using the concept of the adjacency matrix”, In press Journal of Process Control,  April 2009.


14. Badwe, A., R.D. Gudi, R.Patwardhan, S.L. Shah and S. Patwardhan, “Detection of Model-Plant-Mismatch in MPC applications” , in press with the Journal of Process Control, 2009.


15. Jiang, H., B. Huang and S.L. Shah, “Closed-loop model validation based on the two-model divergence method”, Journal of Process Control, 19, 2009, pp 644-655


16. Imtiaz, S.A. and S.L. Shah, " Treatment of Missing Values in Process Data Analysis", Canadian J. of Chemical Engineering, Vol 86, 5, Oct. 2008, pp 838-858


17. Mahadevan, S. S.L. Shah and C. Slupsky (2008) Analysis of Metabolomic Data Using Support Vector Machines, Analytical Chemistry, October 2008, Vol 80, 19, pp 7562-7570


18. Sahebsara, M. T. Chen, and S.L. Shah, ``Optimal H-infinity filtering in networled control systems with multiple packet dropouts”,  Systems and Control letters, no 9, Vol 57, pp 696-702, 2008.


19. Ahmed, S., Huang, B. and Shah, S.L. (2008) Process parameter and delay estimation from non-uniformly sampled data, Book Chapter in ‘Identification of continuous-time models from sampled data’, H. Garnier and L. Wang (Eds.), Springer-Verlag, London, pp. 313-337, 2008.


20. Narasimhan, S. and Shah, S.L. , “Model identification and error covariance matrix estimation from noisy data using PCA”, Control Engineering , Volume 16, Issue 1, , Pages 146-155, January 2008


21. Choudhury, M.A.A.S., M. Jain and S.L. Shah, “Stiction – definition, modelling, detection and quantification”,  Journal of Process Control, Vol. 18, pp. 232-243, 2008


22. Thornhill, N.F., S.C. Patwardhan and S.L. Shah, “ A continuous stirred tank heater simulation model with applications”, Journal of Process Control, Vol. 18, pp. 347-360, 2008


23. Halim, E.B., M.A A.S. Choudhury, S.L. Shah and M.J. Zuo, “Time Domain Averaging across all Scales: A novel method for detection of gearbox faults”, Mechanical Systems and Signal Processing, Vol. 22, pp. 261-278, 2008.
24. Li, W. S.L. Shah and D. Xiao, “Kalman Filters in Non-uniformly Sampled Multirate Systems for FDI and beyond”,  Automatica, 44, 1, 193-198, 2008.


25. Imtiaz S.A., S.L. Shah, R. Patwardhan, H. Palizban and J. Ruppenstein “Prediction Diagnosis and Root Cause Analysis of Sheet-break in a Pulp and Paper Mill with Economic Impact Analysis”, Canadian Journal of Chemical Engineering, Volume 85, Number 4, pp 512-525, August 2007


26. Ahmed, S., Huang, B. and Shah, S.L., “Identification from step response with transient initial conditions”, Journal of Process Control, 18(2), pp 121-130, 2008. ( #4 in the list of top 25 most downloaded papers from JPC, Jan-Mar’08).


27. Sharmin, R., Shah, S.L., Sundararaj, U., A PCA based Fault Detection Scheme for an Industrial High Pressure Polyethylene Reactor, Macromolecular Reaction Engineering, 2, 12-30, 2007


28. Slupsky, C.M. Kathryn N. Rankin, James Wagner, Hao Fu, David Chang, Aalim M. Weljie, Erik J. Saude, Bruce Lix, Darryl J. Adamko, S.L. Shah, Russ Greiner, Brian D. Sykes, and Thomas J. Marrie, “Investigations of the Effects of Gender, Diurnal Variation and Age in Human Urinary Metabolomic Profiles”, Analytical Chemistry, 79(18); pp 6995-7004, 2007


29. Sahebsara, M., T. Chen, and S.L. Shah, “Optimal H2 filtering in networked control systems with multiple packet dropout”, IEEE Transactions on Automatic Control, Vol. 52, No. 8, August 2007.


30. Tangirala, A.K., Kanodia, K. and Shah S.L., “Applications of Non-negative Matrix Factorization for Detection and Diagnosis of Plant-Wide Oscillations”, Industrial Eng. Chemistry Res & Development, 46 (3), pp 801-817, 2007.


31. Sahebsara, M., T. Chen, and S.L. Shah, “Optimal H2 Filtering with Random Sensor Delay, Multiple Packet Dropout and Uncertain Observations”, International Journal of Control, Vol. 80, No. 2, pp 292-301, 2007.


32. Choudhury, M. A. A. S., Kariwala, V., Thornhill, N. F., Douke, H.,  Shah, S. L., Takada, H. and Forbes, J.F., “Detection and Diagnosis of  Plant-Wide Oscillations”, Canadian  Journal of Chemical Engineering, 85(2), pp. 208-219, 2007.


33. Jiang, H., M.A.A.S. Choudhury, S. L. Shah, “Detection and Diagnosis of Plant-wide Oscillations from Industrial Data using the Spectral Envelope Method”, Journal of Process Control, 17(2), pp. 143-155, 2007.


34. Imtiaz, S.A., M. A. A. S. Choudhury, S. L. Shah, “Building Multivariate Models From Compressed Data”, Industrial Engineering Chemistry Research & Development, 46(2), pp. 481-491, 2007.


35. Ahmed, S., Huang, B. and Shah, S.L., “Novel identification method from step response”, Control Engineering Practice, 15(5), pp 545-556, 2007. (#1 most downloaded paper in CEP, Jan-Mar, 2007).


36. Liu, H., W. Jiang,  A.K. Tangirala,  S.L. Shah, “An adaptive regression adjusted monitioring and fault isolation scheme,”, Journal of Chemometrics,  20(6-7), 280-293. 2007


37. Sharmin, R., U. Sundararaj, S.L. Shah, L. VandeGriend, and Y. Sun, “Inferential Sensors for Estimation of Polymer Quality Parameters: Industrial Application of a PLS-based Soft Sensor for a LDPE plant”, Chemical Engineering Science, 61, pp 6372-6384, 2006.


38. Gopaluni, R.B., H. Raghavan, R.S. Patwardhan, S.L. Shah, and G.A. Dumont, “Identification of delay dominant recycle systems”, Journal of Process Control 16(9), pp 903-912, 2006.


39. Sahebsara, M., T. Chen and S.L. Shah, “Frequency-domain parameter estimation of general multi-rate systems”, Computers & Chemical Engineering, 30, pp 838-849, 2006.


40. Choudhury, M. A. A. S., Thornhill, N. F. and Shah, S. L., “Automatic Detection and Quantification of Control Valve Stiction”, Control Engineering Practice, Vol. 14, issue 12, pp. 1395-1412, 2006.


41. Ahmed, S., B. Huang and S.L. Shah, “Parameter and delay estimation of continuous-time models using a linear filter”, Journal of Process Control, Vol. 16, Issue 4, pp 323-331, 2006, (in the list of Top 10 most downloaded paper in JPC Jan-Mar, 2006).. 


42. Li, W., Han, Z. and Shah, S. L.  “Subspace Identification for FDI in Systems with Non-uniformly Sampled Multirate Data”. Automatica, 42, pp 619-627, 2006.


43. Raghavan, H., Tangirala, A.K., Gopaluni, B., Shah, S.L. “Identification of chemical processes with irregular output sampling”, Control Engineering Practice, 14 , pp 467-480, 2006, Article recognized as one of top 25 highly read articles (as counted by article downloads on ScienceDirect) for the Jan-March 2006 issues of CEP. 


44. Patwardhan, S.C., S. Manuja, S. Narasimhan and Shah, S.L., “From data to diagnosis and control using generalized orthonormal basis filters. Part II: Model predictive and fault tolerant control”, J. of Process Control, 16, 157-175, 2006.


45. Patwardhan, S.C. and Shah, S.L., “From data to diagnosis and control using generalized orthonormal basis filters: Development of state observers”, J. of Process Control, 15, 819 – 835, 2005.


46. J. Sheng, T. Chen, and S.L. Shah, “Optimal filtering for multirate systems,” IEEE Trans. on Circuits and Systems II: Express Briefs, vol. 52, no. 4, pp. 228-232, 2005.


47. Rossiter, J.A., Sheng, J., Chen, T., Shah, S.L., “Interpretation of and options in dual-rate predictive control”, J. of Process Control 15, no 2, pp. 135-148, 2005.


48. Tangirala, A.K., Shah, S.L. and Thornhill, N.F., “PSCMAP: A new tool for plant-wide oscillation detection”, Journal of Process Control, 15, pp 931-941, 2005.


49. Mizumoto, I., R.B. Gopaluni, S. L. Shah, and Z. Iwai, “ Robust adaptive control for strict-feedback nonlinear systems, Asian Journal of Control, Vol. 7, No. 3, pp. 231-243, September 2005.


50. Raghavan, H., R.B. Gopaluni, S.L. Shah, J. Pakpahan, R.S. Patwardhan and C. Robson (2003), “Gray-box identification of dynamic models for the Bleaching operation in a BCTMP mill”, Journal of Process Control, 15, 451-468, 2005, pp 451-468.


51. Han, Z., Li, W. and Shah, S.L., “Fault detection and isolation in presence of process uncertainties”, Control Engineering Practice, 13, pp 587-599, 2005.


52. Choudhury, M.A.A.S.., Thornhill, N.F. and Shah, S.L., “Modeling Valve Stiction”, Control Engineering Practice, Volume 13, 5, pp. 641-658, 2005.


53. Yamamoto, T. and Shah, S.L., “Design and Experimental Evaluation of a Multivariable Self-tuning PID Controller”, IEE Proc.-Control Theory Appl., Vol. 151, No. 5, September 2004, pp 645-652


54. Choudhury, M.A.A.S., Shah, S. L. and Thornhill, N. F., “Diagnosis of Poor Control Loop Performance using Higher Order Statistics”,  Automatica, Vol 40, 10, pp. 1719-1728, Oct. 2004.


55. Liu, H., Shah, S.L. and Jiang W., “ On-line outlier detection and data cleaning”, Computers and Chemical Engineering, 28, pp 1635-1647, 2004.


56. Thornhill, N. F., Choudhury, M. A. A. S. and Shah, S. L., " Impact of Data Compression on Data-driven Process Analysis", Journal of Process Control, Issue 14, June, pp. 389-398, 2004.


57. Gopaluni, B., Patwardhan, R. and Shah, S.L., “MPC Relevant Identification: Tuning the Noise Model”, Journal of Process Control, Vol 14, 2004, pp 699-714


58. Gopaluni, R.B., I. Mizumoto and S.L.Shah, “A Robust Nonlinear Adaptive Backstepping Controller for a CST”, Ind. Eng. Chem. Res. 42, 4628-4644, 2003.


59. Mizumoto, I., Michino, R., Iwai, Z., Gopaluni, R.B. and Shah, S.L., “Robust Adaptive Backstepping Control Based on High-Gain Feedback and its Application to CSTR Control”, Trans. Of the Japan Society of Mechanical Engineers, 69, 686, pp. 143-150, 2003.


60. Gopaluni, B., Patwardhan, R. and Shah, S.L., “The Nature of Data Pre-filters in MPC Relevant Identification, Open and Closed-loop Issues”, Automatica, 39, 9, September, 1617-1626, 2003.


61. Kumar, V., U. Sundararaj, S.L. Shah, D. Hair and L.J. Vande Griend, “Multivariate Statistical Monitoring of a High-Pressure Polymerization Process”, Polymer Reaction Engineering, 11(4), pp. 1017-1052, 2003.


62. Gao, J., Patwardhan, R.S., Akamatsu, K. Hashimoto, Y., Shah, S.L. and Huang, B., “ Performance Evaluation of two Industrial MPC Controllers”, Special issue of Prize-winning papers, Control Engineering Practice, Vol. 11, Pages 1371-1387, 2003.


63. Patwardhan, R., Shah, S.L. and Qi, K., “Assessing the Performance of Model Predictive Controllers”, Canadian Journal of Chemical Engineering, 80(5), 954-966, 2002.


64. Thornhill, N.F., Shah, S.L. and Huang, B., “Controller performance assessment in set point tracking and regulatory control”, International Journal of Adaptive Control and Signal Processing, 17, 709-72, 2003.


65. D. Li, S.L. Shah, T. Chen, and K.Z. Qi, “Application of Dual-Rate Modeling to CCR Octane Quality Inferential Control”, IEEE TCST, January, Volume 11, Number 1, pp 43-51, 2003.


66. Li, W., H. Raghavan and S. Shah, “Subspace Identification of Continuous Time Models for Process Fault Detection and Isolation", J. of Process Control, 13, 5, August, pp 407 422, 2003.


67. N.F. Thornhill, Shah S.L., Huang B. and Vishnubhotla, A., “Spectral Principal Component Analysis of Process Data”, Control Engineering Practice, 10(8), pp 833-846, 2002.


68. S.L. Shah, R. Patwardhan and B. Huang, “Multivariate Controller Performance Analysis: Methods, Applications and Challenges”, Presented at CPC-6, Tuscon, AZ, Jan. 2001, pp 187-219, AIChE Symposium series, 326, 98, 2002.


69. J. Sheng, T. Chen, and S.L. Shah, “Generalized predictive control for non-uniformly sampled systems,” Journal of Process Control, vol.12 pp. 875-885, 2002.


70. Li, D., S.L. Shah and T. Chen, “Analysis of dual-rate inferential control systems”, Automatica, 38, pp 1053-1059, 2002.


71. Patwardhan, R. and S.L. Shah, “Issues in performance diagnostics of model-based controllers”, J. of Process Control, 12, pp 413-427, 2002.


72. Li, W. and S.L. Shah, “Structured Residual Vector-based Approach to Sensor Fault Detection and Isolation”, J.of Process Control, 12, pp 429-443, 2002.


73. Li, W., Bhargava, A. and Shah, S.L., “Adaptive Process Monitoring via Multichannel EIV Lattice Filters”, AIChE Journal, 48, 4, April, pp 786-904, 2002.


74. Mizumoto, I., R.B. Gopaluni, S.L. Shah and Z. Iwai, “Robust adaptive control for strict-feedback nonlinear systems with non-parametric uncertainties”, Trans. of  Society for Instrumentation and Control Engineering, Japan,38(12), 1069-1078,2002.


75. Tangirala, A.K., R.S. Patwardhan, S.L. Shah, and T. Chen, “LQR Performance Comparison of Multirate vs. Single-rate Systems”, Special Issue in DCDIS Series B on Control of Dynamic Multirate Systems, vol. 8, pp. 517-537, 2001.


76. J. Sheng, T. Chen, and S.L. Shah, “Multirate Generalized Predictive Control for Sampled-data Systems”, Special Issue in Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications and Algorithms, 8, pp 485-499, 2001. 


77. Tangirala, A., Li., D., Patwardhan, R., Shah, S.L. and Chen, T., “Ripple-free conditions for lifted multirate control systems”, Automatica, 37, pp 1637-1645, 2001.


78. Li, D., Shah, S.L. and Chen, T., “Identification of Fast-rate Models from Multirate Data”, International J. of Control, 74, 7, pp 680-689, 2001.


79. Lakshminarayan, S., Emoto, G., Ebara, S., Tomida, K., and Shah, S.L., “Closed loop identification and control reconfiguration: An Industrial case study”, 11, Journal of Process Control, pp 587-599, 2001.


80. Liu, D, Shah, S.L. and Fisher, D.G., “Choice of latent explanatory variables: a multiobjective optimization approach”, J of Chemometrics, 14, 14, pp 79-92, 2000.


81. Huang, B., Shah, S.L. and Miller, R., “Feedforward plus feedback controller performance assessment of MIMO systems”, IEEE TCST, 8, 3, May, pp 580-587, 2000.


82. C.H. Wong, Shah, S.L. and Fisher, D.G., “Fuzzy Relational Predictive Identification”, International J for Fuzzy Sets and Systems, 113, 3, August, pp 417-427, 2000.


83. C.H. Wong, Shah, S.L., Bourke, M.M. and Fisher, D.G., “Adaptive Fuzzy Relational Predictive Control”, International J for Fuzzy Sets and Systems, 115, pp 247-260, 2000.

Papers in Refereed Conference Proceedings (from 2000 onwards) (back to top)

1. P.V. Jampana and S.L.Shah, "A novel method for interface level detection in a separation cell". In Proceedings of the IFAC AdChem 2009 meeting, Istanbul, Turkey, July 2009.


2. A. Narang, S.. L. Shah abd T. Chen,, "Continuous-time model identification of fractional order models with time delays", In Proceedings of the 2009 IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, July 2009.


3. I. Izadi, S. L. Shah, D. S. Shook, and T. Chen, "An Introduction to Alarm Analysis and Design", In Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Barcelona, Spain, July 2009.


4. I. Izadi, S. L. Shah, D. S. Shook, S. R. Kondaveeti, and T. Chen, "Optimal Alarm Design", In Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Barcelona, Spain, July 2009.


5. S. Mahadevan and S.L. Shah, "Plant wide fault identification using One-class Support Vector Machines", In Proceedings of the 2009 IFAC SAFEPROCESS, Barcelona, Spain, July 2009


6. S. R. Kondaveeti, S. L. Shah and I. Izadi, "Application of Multivariate Statistics for Efficient Alarm Generation", Accepted for publication and presentation at the IFAC SAFEPROCESS, Barcelona, Spain, July 2009,


7. S. B. Chitralekha, S. L. Shah, J. Prakash, "Detection and quantification of valve stiction by the method of unknown input estimation", Accepted for publication and presentation at the 2009 IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess 2009), Barcelona, Spain, June-July 2009.


8. S. B. Chitralekha, J. Prakash, H. Raghavan, R. B. Gopaluni, S. L. Shah, "Comparison of Expectation-Maximization based parameter estimation using Particle Filter, Unscented and Extended Kalman Filtering techniques", Accepted for publication and presentation at the 2009 IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, July 2009


9. Ahmed, S., B. Huang  and S.L. Shah , “ Process Identification from Sinusoidal Test Data by Estimating Step Response”, Accepted for publication and presentation at the 2009 IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, July 2009


10. Ahmed, S., B. Huang  and S.L. Shah , “ Identification from Step Response in the Presence of Deterministic Disturbance”, Accepted for publication and presentation at the 2009 IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, July 2009


11. P.V. Jampana , S.L. Shah*,  R. Kadali , D. Kihas , “Computer vision based interface level control in a separation cell” , Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 3298-3303


12. E. B. Halim_ S. L. Shah* ,M. A. A. S. Choudhury,  R.  Kadali, “ Application of Bicoherence Analysis on Vibration Data for Condition Based Monitoring of Rotating Machinery”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 4517-4522


13. H. Jiang,  S. L. Shah*,  B. Huang,  B. Wilson, R. S.  Patwardhan and  F. Szeto, “Performance Assessment and Model Validation of Two Industrial MPC Controllers”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008,, pp 8387-8394


14. H. Jiang, R. S. Patwardhan, S. L. Shah*, “ Root Cause Diagnosis of Plant-wide Oscillations using the Adjacency Matrix”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 13893-13900


15. B. Ni*,  S. L. Shah, D. Xiao , “A Time Delay Estimation Method for MIMO Systems”,   Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 5539-5544


16. I Izadi,  S. L. Shah, T. Chen, “A Direct Approach to Fault Detection in Non-uniformly Sampled Systems”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 10148-10153


17. J. Prakash*, S. C. Patwardhan, S. L. Shah, “Control of an Autonomous Hybrid System Using a Nonlinear Model Predictive Controller”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 12510-12515


18. J. Prakash*, S. C. Patwardhan, S. L. Shah, “Constrained State Estimation Using Particle Filters”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008, pp 6472-6477


19. J. Prakash*, S. C. Patwardhan, S. L. Shah, “Constrained State Estimation Using the Ensemble Kalman Filter”, Proc. of the 2008 ACC, Seattle, June 2008, Awarded the Best Paper in Session Prize.


20. Badwe*, A.S., S. L. Shah, S. C. Patwardhan, R. S. Patwardhan,  “Model-Plant Mismatch Detection in MPC Applications using Partial Correlation Analysis”, Proc. of the 2008 IFAC World Congress, Seoul, Korea, July 2008,, pp 14926-14933


21. Izadi,I., 
    ; S.L. Shah, and T. Chen, Parity space fault detection based on irregularly sampled data, Proc. American Control Conf., 2798-2803, Seattle,WA June 2008.


22. H. Jiang, Biao Huang, S.L. Shah, “Control relevant closed-loop model validation based on the two-model divergence method”, Proc.of  the 46th IEEE CDC, Dec. 2007, New Orleans


23. Patwardhan, S.C., Prakash, J., Shah, S.L., “Soft Sensing and State Estimation: Review and Recent trends”, accepted for presentation at the  IFAC Conference on Cost Effective Automation (IFAC-CEA'07), Monterrey, Mexico, 3-5 Oct., 2007.


24. Choudhury, M.A.A.S and S.L. Shah, “Data Based Quantification of System Nonlinearity”, In the Proc. of  IFAC NOLCOS conference, Pretoria, S. Africa, August 2007.


25. Kono, T., T. Yamamoto, T. Hinamoto and S.L. Shah, “Design of a Data-Driven Performance-Adaptive PID Controller”, Proc. of IFAC Workshop on Adaptation and Leaning in Control and Signal Processing, St. Petersburg, August 2007.


26. Yamamoto, T. and S.L. Shah, “Design of a Performance-Adaptive PID Controller”, Proc. of European Control Conference 2007, Kos, July 2007.


27. Halim, E.B., M.A.A.S. Choudhury, S.L. Shah and M.J. Zuo, “Detection of Rub in Rotating Machineries by Wavelet Analysis of Vibration Data”, Proc. of European Control Conference, Kos Greece, July 2007.


28. Patwardhan, S. C., Narasimhan, S., Shah, S. L., “Active Fault Tolerant Control using Innovation form of State Space Models”, Proc. of European Control Conference, Kos, Greece, July 2007.


29. Ohnishi, Y., K. Takao, T. Yamamoto and S.L. Shah, “Design of a PID Controller with a Performance-Driven Adaptive Mechanism”, Proc. of 2007 American Control Conference, New York, July 2007.


30. Imtiaz, S.A., K. Roy, S.L. Shah and P.V. Jampana, “Estimation of States of Nonlinear Systems using a Particle Filter”, 2006 IEEE International Conference on Industrial Technology (ICIT'06), Renaissance Mumbai Hotel and Convention Centre, Mumbai, India, December 15-17, 2006.


31. Iwai Z., S.L. Shah, I. Mizumoto, L. Liu and Hailei Jiang, “Adaptive Stable PID Controller with Parallel Feedforward Compensator”, To appear in the Proceedings of the  International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, 2006.


32. Choudhury, M.A.A.S., D. S. Shook and S.L. Shah, “Linear or Nonlinear? A bicoherence based metric of Nonlinearity measure”, Proceedings of IFAC-Safeprocess 2006 Symposium, Beijing, August 2006.


33. Halim, E.B., M.A. A.S. Choudhury, S.L. Shah and M.J. Zuo, “Fault Detection of Rotating Machinery from Bicoherence Analysis of Vibration Data”, Proceedings of IFAC-Safeprocess 2006 Symposium, Beijing, August 2006.


34. Imtiaz, S.A., S.L. Shah, R. Patwardhan, H. Palizban and J. Ruppenstein, “Development of online monitoring scheme for prediction and diagnosis of sheet-break in a pulp and paper mill”,  Proceedings of IFAC-Safeprocess 2006 Symposium, Beijing, August 2006.


35. Jiang, H., W. Li and S.L. Shah, “Detection and isolation of Model-Plant Mismatch for Multivariate Dynamic Systems”, Proceedings of IFAC-Safeprocess 2006 Symposium, Beijing, August 2006.


36. Choudhury, M.A.A. S, M. Jain and S.L. Shah, “Detection and Quantification of Valve Stiction” Proc. of the 2006 ACC, Minneapolis. July 2006.Awarded Best Paper-in-the-session Prize.


37. Halim, E.B., S.L. Shah, M.J. Zuo and M.A.A.S. Choudhury , “Fault detection of gearbox from vibration signals using time-frequency domain averaging” ,proceedings of the  2006 ACC, Minneapolis, July, 2006.


38. Sahebsara, M., T. Chen, and S.L. Shah, “Optimal Fast-Rate Soft-sensor Design for Multi-rate Processes”, American Control Conference, pp 976-981.


39. Ahmed, S., B. Huang and S.L. Shah, “Parameter and Delay Estimation of Continuous–Time Models from Irregularly Sampled Output”, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil, pp 85-90.


40. Alleyne, I.R., S. Shah, U. Sundararaj and B. West, “Development of an Extruder Based Melt Index Soft Sensor”, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil, pp 463-468.


41. Rossi, M., A.K. Tangirala, S.L. Shah, and C. Scali, “A Data-Based Measure for Interactions in Multivariate Systems”, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil,  pp 681-686.


42. Jiang, H., M.A.A.S. Choudhury, and S. L. Shah, “Detection and Diagnosis of Plant-Wide Oscillations via the Method of Spectral Envelope”, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil, pp 1139-1144.


43. Jain, M., M.A.A.S. Choudhury, and S.L. Shah, “Quantification of Valve Stiction”, Proceedings of 2006 IFAC-Adchem, Gramado, Brazil,  pp 1157-1162.


44. Raghavan, H., Tangilara, A.K., Shah, S.L., “Identification of state-space models for processes with irregularly sampled outputs,” IFAC World Congress, July 2005.


45. Li, W., Shah, S.L., Xiao, D., “Kalman filters for non-uniformly sampled multirate systems,” IFAC World Congress, July 2005.


46. Choudhury, M.A.A.S., Kariwala, V., Shah, S.L., Douke, H., Takada, H., Thornhill, N.F., “A simple Method for Confirming Control Valve Stiction,” IFAC World Congress, July 2005.


47. Li., W. and Shah, S.L., “Data-driven Kalman Filters for Non-uniformly Sampled Multirate Systems with Application to Fault Diagnosis”, Proceedings of ACC, Portland, Oregon, June’05, Awarded Best Paper-in-the-session Prize.


48. Li, W., Shah, S.L., “Fault Detection and Isolation in Non-Uniformly Sampled Systems”, Proceedings IFAC – Dynamics and Control of Process Systems 2004 Symposium, Cambridge, Massachusetts, July 2004.


49. Imtiaz, S.A., Shah, S.L. and Narasimhan, S., “Missing Data Treatment using Iterative PCA and Data Reconciliation”, Proceedings IFAC – Dynamics and Control of Process Systems 2004 Symposium, Cambridge, Massachusetts, July 2004.


50. Han, Z., Shah, S.L., Narasimhan, S. and Zaknoun, H., “Detection and Diagnosis of Data Reconciliation Problems in an Industrial Chemical Inventory System”, Proceedings IFAC – Dynamics and Control of Process Systems 2004 Symposium, Cambridge, Massachusetts, July 2004.


51. Rossiter, J.A., Chen, T. and Shah, S.L., “Improving the Performance of Dual Rate Control in the Absence of a Fast Rate Model”, Proceedings IFAC – Dynamics and Control of Process Systems 2004 Symposium, Cambridge, Massachusetts, July 2004.


52. Choudhury, M.A.A.S., Shah, S.L. and Thornhill, N.F., “Detection and Quantification of Control Valve Stiction”, Proceedings IFAC – Dynamics and Control of Process Systems 2004 Symposium, Cambridge, Massachusetts, July 2004.


53. Choudhury, M.A.A.S., Thornhill, N.F. and Shah, S.L., “A Data-Driven Model for Valve-Stiction”, presented at the IFAC ADCHEM 2003 meeting, Jan 11-14, 2004, Hong Kong.


54. Gopaluni, R.B., H. Raghavan, S.L. Shah, “System Identification from Multi-Rate Data”, presented at the IFAC ADCHEM 2003 meeting, Jan 2004, Hong Kong.


55. Gao, J., Akamatsu, K, Hashimoto, Y., Shah, S.L. and Huang, B., “Performance Evaluation of an Industrial MPC Controller”, Proc. 15th IFAC World Congress, Barcelona, Spain, July 21-26, 2002. Selected as one of five finalist papers for the IFAC World Congress Applications Paper Prize.


56. J. Sheng, T. Chen and S. L. Shah, “GPC for non-uniformly sampled systems based on the lifted models”, Proc. 15th IFAC World Congress, Barcelona, Spain, July 21-26, 2002.


57. Han, Z., Li, W., and Shah, S., “Robust fault diagnosis in the presence of process uncertainties”, Proceedings of 15th IFAC World Congress in July 2002, Barcelona, Spain.


58. Gopaluni, R.B., R.S. Patwardhan, S.L. Shah, “Bias distribution in MPC relevant identification”, Proceedings of IFAC world congress, 2002.


59. Choudhury, M.A.A.S., Shah, S.L. and Thornhill, N.F., “Detection and Diagnosis of System Nonlinearities Using Higher Order Statistics”, presented at the IFAC World Congress, July 22-26, 2002, Barcelona, Spain.


60. Gopaluni R.B., R.S.Patwardhan, S.L. Shah, “Experiment design for MPC relevant identification”, In proceedings of American ControlConference, 2002, Winner of best session paper award.


61. S.L. Shah, R. Patwardhan and B. Huang, “Multivariate Controller Performance Analysis: Methods, Applications and Challenges”, Invited Keynote talk at CPC-6, Tuscon, AZ, Jan. 2001, pp 187-219.


62. W. Li, H. Raghavan and S.L. Shah, “Fault Diagnosis-Relevant Subspace Identification of Continuous Time Systems”, Proc. of the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries, Jejudo Island, Korea, June 2001, pp 366-371.


63. Dongguang Li, S.L. Shah, T. Chen and K. Z. Qi , “Application of Dual-Rate Modelling to CCR Octane Quality Inferential Control”, Proc. of the 6th IFAC Symposium on Dynamics and Control of Process Systems, Jejudo Island, Korea, June 2001, pp 417-421.


64. Weihua Li and S.L.  Shah, “Vector-Based Approach towards Isolation of Sensor Faults in Dynamic Systems”, Proc. of the 4th IFAC Workshop On-Line Fault Detection and Supervision in the Chemical Process Industries, Jejudo Island, Korea, June 2001, pp 224-229.   


65. N.F. Thornhill, S.L. Shah and B. Huang, “Detection of Distributed Oscillations and Root-Cause Diagnosis”, Proc. of the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries, Jejudo Island, Korea, June 2001, pp167-172.    


66. Thornhill, N., Shah, S.L. and Huang, B., “Controller Performance Assessment in Set Point Tracking and Regulatory Control”, Proc. of 2000 IFAC Adchem, Pisa, Italy, June 2000, pp 183-188.


67. Masuda, S., Shah, S.L. and Gopaluni, B., “An Adaptive, State-space Based GPC with a Two-degrees-of-Freedom Controller Structure”, Proc. of 2000 IFAC Adchem, Pisa, Italy, June 2000, pp 1305-310.


68. Tangirala, A., Shah, S.L. and Chen, T., “Performance Comparision of Multirate vs. Single-Rate Systems”, Proc. of 2000 IFAC Adchem, Pisa, Italy, June 2000, pp 449-454.


69. Ohnishi, Y., Yamamoto, T. and Shah S.L., “A design of Self-tuning PID Controller with a Time-delay Compensator”, Proc. of IFAC Conf. on Digital Control, PID'00, April 2000, Terrassa, Spain, pp 654-659.


70. Mitsukura, Y., Yamamoto, T., Kaneda, M., Fukumi, M., Akamatsu, N. and Shah, S.L., “Design and Experimental evaluation of Self-tuning PID Controller Using Evolutionary Computation”, Proc. of IFAC Conf. on Digital Control, PID'00, April 2000, Terrassa, Spain, pp 642-647.

Non-refereed Publications and Presentations (from 2000 onwards) (back to top)

1. Ramarathnam*,J., Biao Huang, S. L. Shah (2009), LQG control of sheet and film forming processes, In Proceedings of the 8th World Congress of Chemical Engineering, Montreal, August 2009


2. Shenoy*,V., V. Prasad and S.L. Shah (2009) , Particle Filter-Based State Estimation in a Gas-Phase Fluidized Bed Polyethylene Reactor, To be presented at the 2009 ANNUAL AIChE meeting.


3. Danesh Pour*, N., B. Huang and S.L. Shah, Closed-loop subspace identification for estimating LQG trade-off curve, 58th Canadian Chemical Engineering Conference, Oct. 19-22, 2008, Ottawa


4. S.L. Shah*, " The new role of digital automation systems in process monitoring: Sensor-fusion and signal processing for plant health management", 2008 Park Reilly Lectureship,University of Waterloo, February 2008


5. S.L. Shah*, "Quantitative Literacy". Graduate seminar as part of the Park Reilly Lectureship, University of Waterloo, February 2008.


6. S.L. Shah*, "Temporal and Spectral Analysis of Process Data", Undergraduate student seminar as part of the Park Reilly Lectureship, University of Waterloo, February 2008.


7. S.L. Shah*, "Sensor-fusion Strategies for Process and Performance Monitoring" , Invited seminar at Seoul National University, Seoul, Korea, July 2008.


8. S.L. Shah*, "Sensor-fusion Strategies for Process and Performance Monitoring" , Invited seminar at National Taiwan University, Taipei, Taiwan, July 2008.


9. Mahadevan, S. and S.L. Shah, “Adaptive binning of metabolomic NMR datasets using correlation techniques”, Presented at the 2007 annual meeting of the CSChE, Oct. 2007.


10. Jampana, P.V., S.L. Shah and R. Kadali, “Implementation of a particle filter and image based sensor for interface level control in an oil sands separation cell”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


11. Iqbal, M., U. Sundararaj and S.L. Shah, “Identification and control of a plasticating twin screw extruder”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


12. Chitralekha, S.B. and S.L. Shah, “Application of support vector regression machines for nonlinear system identification”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


13. Halim, E., H. Raghavan and S.L. Shah, “Application of inductive monitoring systems (IMS) for monitoring industrial processes”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


14. Choudhury, M.A.A. and S.L. Shah, “Chemical processes are low pass filters: Why and when?”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


15. Jiang, H., R. Patwardhan and S.L. Shah, “Diagnosis of plant-wide oscialltions using the Adjacency matrix”, presented at the 2007 annual meeting of the CSChE, Oct. 2007.


16. D. Chang, K.N. Rankin, A. McGeer, S.L. Shah, T.J. Marrie, and C.M. Slupsky, “Metabolite Profiles of Streptococcus pneumoniae Infections using ^1 H NMR Spectroscopy”, Boston, MA, U.S.A. Metabolomics Society Meeting, June 25-29, 2006.


17. Imtiaz, S. A. and Shah, S.L., “Modeling uneven-batch processes using a PCA-based missing data technique”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


18. Jiang, H. and Shah, S.L., “Analysis of dynamic process data via the Spectral Envelope method”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


19. Alleyne, I.R., Shah, S.L and Sundararaj, U.T., “Modeling an EVA plant for advanced process control and monitoring”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


20. Chang, D., Shah, S.L., Slupsky, C.M., Weljie, A. and Marrie, T.J., “Metabolomics: Tools for measuring human health”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


21. Adeleye, O., Shah, S.L. and Kristiansson, B., “Design and experimental evaluation of an optimal PID tuning method”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


22. Imtiaz, S.A., Choudhury, M.A.A.C. and Shah, S.L, “Impact of data compression in multivariate modeling and data reconstruction”, Presented at the 2005 Annual CSChE meeting, Toronto, Oct. 2005.


23. Shah, S.L., W. Mitchell and D. Shook, “ Challenges in the detection, diagnosis and visualisation of controller performance data”, Invited keynote talk at the IEE meeting on Control Loop Assessment and Diagnosis, 16th June 2005, London, UK. Paper in IEE Computing and Control Engineering, 16, 4, 2005, pages 30-34.


24. Shah, S.L., W. Mitchell and D.S. Shook, “Tree mapping technology as a means of visualising control performance problems”, Invited keynote talk at the IEE meeting on Control Loop Assessment and Diagnosis, 16th June 2005, London, UK. Paper in IEE Computing and Control Engineering, 16, 4, 2005, pages 35-39.


25. E.J. Saude, D. Chang, C.M. Slupsky, D. Adamko, B. Rowe, S.L. Shah, and B.D. Sykes. “NMR-based Metabolomic Investigation of Asthma and Therapeutic Response”, Jan. 29 - Feb. 4, 2005, Banff, Canada, Frontiers of NMR in Molecular Biology IX.


26. A. Weljie, D. Chang, J. Newton, E.J. Saude, B. Lix, B.D. Sykes, T.J. Marrie, C.M Slupsky, and S.L. Shah, “Metabolomic NMR Data Analysis in Human Disease”,  Jan. 29 - Feb. 4, 2005, Banff, Canada, Frontiers of NMR in Molecular Biology IX.


27. Choudhury, M.A.A.S, Kariwala, V., Shah, S.L., Forbes, J.F., Meadows, E., Douke H., and Takada, H., “Diagnosis of Plant-wide Oscillations due to Valve Stiction”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


28. Sharmin, R.; Shah, S.L.; Sundararaj, U.T., “Soft Sensor Development to Predict Melt Flow Index for a LDPE/EVA Plant”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


29. Liu, H., Shah, S.L., and Jiang, H., “An Adaptive Regression Adjusted Fault & Identification Scheme”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


30. Imtiaz, S., and Shah, S.L., “Missing Data Treatment using PDA from a Bayesian Perspective”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


31. Alleyne, I., Shah, S.L., Moudgalys, K., and Ramanathan, S., “Modeling a Low Density Polyethylene (LDPE) Autoclave for Process Optimization of Grade Transition Strategies”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


32. Alleyne, I., Shah, S.L., Polikar, M., Shin, H., Canbo, S., Neumiester, L., “The Use of Advanced Control Techniques for the Optimization of the Steam-Assisted Gravity Drainage (SAGD) Heavy Oil Recovery Process”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


33. Li, W., and Shah, S.L., “Identification of First and Second Order Plus Dead-time Models via the Improved Method of Moments”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


34. Ahmed, S., Huang, B., and Shah, S.L., “Parameter and Delay Estimation of Continuous Time Models Using a Linear Filter”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


35. Chang, D., Shah, S.L., Sykes, B., and Saude, E.J., “The Use of Metabolomics in the Study of Human Disease and Medicine”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


36. D. Chang, E.J. Saude, C.M. Slupsky, B.D. Sykes, and S.L. Shah, “Multivariate Methods for Metabolomics”, December 13-14, 2004, Florida, U.S.A., Cambridge Healthtech Institute’s Fifth Annual, Metabolic Profiling: Pathways in Discovery.


37. Tangilara, A.K., Choudhury, M.A.A.S., Liu, H., Shah, S.L., and Thornhill, N.F., “An Integrated Framework for Extracting Data-Based Process Information (DBPI)”, 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.


38. H. Liu, S. Shah and A. Tangirila, “Statistical monitoring of multirate sampled data systems”, INFORMS/CORS Banff. May 16-19, 2004.


39. Sheng, J., Chen, T. and Shah, S.L., “Optimal Filtering for Multirate Systems”, Accepted for publication in IEEE Transactions of Circuits and Systems, 2003.


40. Chang, D. and S.L. Shah, “Chemometric Data Analysis for Metabolomics”, Oct. 26-29, 2003, Hamilton, Canada, Annual Meeting of the Canadian Society for Chemical Engineering.


41. Gopaluni, R.B., H. Raghavan, and S.L.Shah, “Identifying Multi-Rate Chemical Processes - An Expectation Maximization Approach”, In the Proceedings of International Symposium on Process Systems Engineering and Control, Mumbai, Mumbai, 271-276; 2003


42. J.A. Rossiter, T. Chen, and S.L. Shah, “A comparison of lifting and inferential control for multirate systems,” Proc. American Control Conf., pp. 2899-2900, Denver, June 2003.


43. J. Sheng, T. Chen, and S.L. Shah, “Estimation of time delays in multirate sampled-data systems,” Proc. Int. DCDIS Conf. on Engineering Applications and Computational Algorithms, pp. 23-27, Guelph, Ontario, May 2003.


44. J. Sheng, T. Chen, and S.L. Shah, “Multirate Hoo state estimation by a product reduction algorithm,” Proc. Int. DCDIS Conf. on Engineering Applications and Computational Algorithms, pp. 23-27, Guelph, Ontario, May 2003.


45. Shah, S.L., “ Information Based Decision Support Systems for the Process Industries”, Plenary lecture, Proceedings of the International Symposium on Process Systems Engineering and Control, IIT-Mumbai, India, January 2003.


46. S.L. Shah, “Process and Performance Monitoring in Data-overloaded Process Environments”, Invited Keynote talk at the 2002 Annual CSChE meeting, Vancouver, October 2002.


47. Z. Han, S.L. Shah, J. Pakpahan, R. Patwardhan and C. Robson, “SoftSensor Modeling for the Pulp Bleaching Process Using Partial Least Squares”, Presented at the 2002 CSChE, Vancouver, October 2002.


48. S. Choudhury, N. F. Thornhill and S. L. Shah, “Analysis of Induced nonlinearity due to data compression”, Presented at the 2002 CSChE, Vancouver, October 2002.


49. H. Raghavan, S. L. Shah, R. S. Patwardhan, J. Pakpahan, Chris Robson and George Sedgwick, “Identification of Recycle Processes with Dominant Time delays”, Presented at the 2002 CSChE, Vancouver, October 2002.


50. H. Raghavan, S. L. Shah, R. Kadali, D. Cox and B. Doucette, “Latent Variable Subspace Techniques for the Identification of Reduced-complexity Models Using Routine Operating data”, Presented at the 2002 CSChE, Vancouver, October 2002.


51. H. Raghavan, R.B. Gopaluni, and S.L. Shah, “A Comparative Study of Prediction Error and  Subspace Methods for Identification of Dynamical Systems”, Presented at the 2002 Annual meeting of the AIChE, Indianapolis, November 2002.


52. H. Raghavan and S.L. Shah, “Diagnosis of sensor faults in closed-loop systems using models identified through subspace techniques”, Presented at the 2002 Annual meeting of the AIChE, Indianapolis, November 2002.


53. A.K. Tangirala and S. L. Shah, “Lifted PCA for Monitoring of Multirate Processes”, Presented at the 2002 Annual meeting of the AIChE, Indianapolis, November 2002.


54. Mizumoto, I., Z. Iwai, R.B. Gopaluni, S.L. Shah , “Robust High-gain Adaptive Control for Nonlinear Systems with Uncertainities and Its Application to a CSTR control”, In proceedings of AdCONIP,Kumamoto, Japan, 2002.


55. S. C. Patwardhan and Sirish L. Shah, “Predictive Control of Multivariable Systems subject to Unmeasured Disturbance Using Orthonormal Filters”, Presented at the 2001 CSChE Meeting, Halifax..


56. S. Manuja, S. Narsimhan, S. Patwardhan and S. Shah, “Fault Tolerant Control of A Distillation Column Using  Optimal State Observer Identified From Input-Output Data”, Presented at the 2001 CSChE Meeting, Halifax.


57. B. Gopaluni, S.L. Shah and R. Patwardhan, “Dual Control - An approximation and interpretations”, Presented at the 2001 CSChE Meeting, Halifax .


58. R. Patwardhan, B. Gopaluni and S.L. Shah, “The Role of Pre-Whitening in Closed Loop Identification”, Presented at the 2001 CSChE Meeting, Halifax.


59. B. Gopaluni, S.L. Shah and R. Patwardhan, “Iterative Identification and Control for MPC”, Presented at the Annual meeting of the AIChE, November 2001.


60. R. Patwardhan, B. Gopaluni and S.L. Shah, “Application of Kharitonov's Theorem to MPC”, Presented at the Annual meeting of the AIChE, November 2001.


61. S. Patwardhan and S. L. Shah, “Simultaneous estimation of time-delays and unmeasured disturbance models for multivariable systems using orthonormal polynominals”, Presented at the Annual meeting of the AIChE, November 2001.


62. S. Choudhury and S.L. Shah, “Detection and diagnosis of valve problems using higher-order statistics”, Presented at the Annual meeting of the AIChE, November 2001.


63. Gopaluni, R.B. Patwardhan, R.S., and Shah, S.L., “Control Relevant Identification for MPC”, presented at the annual meeting of the CSChE, Oct. 2000, Montreal.


64. D. Li, S. L. Shah, and T. Chen, “A Closed-loop Subspace System Identification Method Based on the Instrumental Variable Approach”, Presented at the Annual meeting of the AIChE, Nov., 2000, Los Angeles.


65. Gopaluni, R.B., Mizumoto, I and Shah, S.L., “An application of nonlinear backstepping to a CSTR”, Presented at the Annual meeting of the AIChE, November, 2000, Los Angeles.

●Selected Honors and Awards (back to top)

●Industrial Chair Program (back to top)

Information-based, Decision-Support Systems for the Process Industries
Industrial Research Chair Project for the
NSERC-Matrikon-SUNCOR-iCORE IRC in Computer Process Control

http://www.nserc.gc.ca/partners/profile_detail_e.asp?pid=306

In most process plants, unit operators are responsible for monitoring several hundred or even thousands of variables. With such a wide span-of-control, operator responsibility forces them to work in an "alarm-driven" mode, principally depending on the plant control systems to inform them when problems occur. It is well known that many common faults are not detected early enough and in fact may go undetected until the situation becomes serious or a fault occurs. We believe it is important to develop an information-based, decision support system for early and preventative detection of faults before they lead to unexpected disruptions or failures.

A recent study conducted in the USA showed that unexpected disruptions to normal operations are estimated to cost the US economy at least $20 billion (US) per year in the petrochemical industry alone. The majority of these unexpected disruptions are due to common faults such as instrument failures, plugged lines, compressor imbalances or fouled process equipment. The reason for such disruptive process faults is that many of the symptoms or indicators that could be used to predict impending problems are seldom detected early enough or were simply lost in the vast files of available data. In fact, often a shut down or fault occurs before the operators or engineers become aware of the actual problem. However, if the available data is carefully scrutinized in real time-i.e. WHILE the data is being collected, then one can detect impending process malfunctions and thus prevent costly process disruptions, off-grade product or environmental damage.

The major thrust of this IRC project then is to develop an information-based, decision support (IBDS) system (see schematic of an IBDS system below) via:

● on-going and intensive interaction with industrial users to identify user needs and requirements
● development of techniques for efficient data pre-processing involving, outlier detection, data reconciliation, sensor fault detection and filtering;
● development and refinement of a suitable set of Multivariable Statistical Process Control (MSPC) algorithms for on-line process performance monitoring, knowledge extraction and decision support via intelligent audit/surveillance of process variables;
● rapid transfer of this technology to industry by translating these algorithms into object based modules that can be easily implemented at local field levels or on higher-level supervisory computer systems by vendor developers;
● implementation, testing and evaluation and trials of these algorithms at several industrial sites on many industrial processes;
● provision of the required education at the university, continuing education, technical and user levels.

Figure to illustrate information flow in a real-time information-based decision support system:

To this end, the University and Matrikon are requesting the participation of several industrial partners. Their role will be to help steer the R&D efforts by contributing in the following ways:

1. Providing relevant industrial MVSPC problems to the research team. (e.g. coker monitoring, tower flooding monitoring, reactor de-composition, furnace coking, etc.) 2. Providing site access, relevant data, drawings, process knowledge and experience 3. Implementing the developed technologies in their operating environments 4. Providing important feedback related to the ongoing research and product development efforts and field trials 5. Co-authoring research papers to be published in both academic and industrial journals

We are offering what we believe is a unique opportunity to participate in a project that is a model for successful technology transfer and development - Industry, University, and Application Developers working together to deliver solutions to specific industrial problems. To be successful, each member of the consortium must benefit.

●Teaching (back to top)

In the fall 2005 term I taught 2 courses: CHE 358 an undergraduate course in Process Data Analysis and CHE 662 a graduate level course on System Identification. The emphasis in CHE 358 was on statistical analysis of engineering process data and the design of experiments. Specifically, this course was concerned with the analysis of data, building empirical models through linear and non-linear regression and the design of experiments for finding new operating regions for improved process performance. The CHE 662 course covered traditional as well as new methods of system identification. The emphasis in this course was on the theory as well as the practice of system identification. Hands-on practical exercises involving experiments to collect data and identify models of pilot-scale processes were undertaken.

●News/Events (back to top)

Upcoming Events

Workshops
"New Developments In Control Loop Monitoring" workshop at the University of Alberta on May 12th. This workshop will focus on methods for measuring performance of control loops in manufacturing plants and the diagnosis of control loop problems. It will be supported by industrial case studies to illustrate the application of the techniques. This workshop will equip participants with the knowledge to carry out control loop performance audits. Space is limited so register early!

Recent Visitors to the Department
Professor Lakshminarayanan Samvedham (June to Sept. 2004)
Professor Richard Braatz (July 2004)
Professor Dale E. Seborg (July 2004)
Professor Sachin Patwardhan (May to July 2004)
Professor Shankar Narasimhan (June to August 2004)
Professor Siguard Skogestad (May 2004)
Professor Nina Thornhill (April 2004)
Professor Kannan Moudgalya, Visiting Professor from IIT-Madras, India for the 2003-2004 academic term.

Professor Ali Cinar, IIT, Chicago; External examiner for PhD thesis of Ramesh Kadali (student of Biao Huang). Thesis title: "A Data Driven Subspace Approach to Multivariate Controller Synthesis and Performance Analysis".

Professor Lennart Ljung, Linkoping University, Sweden; Prof. Ljung gave a one-day workshop titled ,' From Data to Model: The Theory and Practice of System Identification' and also was an external examiner for PhD thesis of R. Bhushan Gopaluni (student of Sirish Shah). Thesis entitled "Iterative Identification and Predictive Control".

Professor Graham Goodwin, University of Newcastle, Australia, gave a one-day workshop titled 'Control of Constrained Systems' and also a seminar titled: 'State and Parameter Estimation for Linear and Nonlinear Systems'.

Past Events (back to top)

Workshops
NSERC - Industrial Research Partnership Workshop
November 29th, 2004, ETLC Building 6-060, University of Alberta

Workshop on Information-Based Decision Support Systems for the Process Industries
November 7th, 2003, ETLC Building 6-060, University of Alberta

From Data Model: The Theory and Practice of System Identification
Lennart Ljung, Linkoping University, Sweden
Thursday May 1, 2003; 9:00 a.m.- 5:00 p.m.
ETLC, Room 1-007

All real systems are required to operate subject to constraints. The most common form of constraints include limits on actuator maximal movement and/or slew rate. Other common constraints include state and output constraints (e.g.. maximal temperatures or rate of change of temperature, etc.). There exists two principal ways of accounting for constraints in control system design, namely "anti-windup" and "model predictive control". Both methods have been extensively used in industry. This tutorial will review practical aspects of this problem and discuss recent research results.

Control of Constrained Systems
Graham Goodwin, University of Newcastle, Australia
Wednesday May 7th, 2003; 9:00 a.m. - 5:00 p.m.
ETLC, Room 1-007

The goal of this mini-course is to provide a general perspective of the basic ideas of system identification. At the same time the aim is to give an overview of the most used and useful methods of system identification, as well as to provide hands-on experience of identification using real data. The course will be equally divided between lectures on identification theory/methodology and computer exercises. For the latter, Mathwork's System Identification Toolbox will be used.

●Papers Available for Downloading (back to top)

	Fault Detection of Gearbox from Vibration Signals using Time-Frequency Domain Averaging Enayet B. Halim, Sirish L. Shah, Ming J, Zuo and M.A.A. Shoukat Choudhury
	Experiment Design For Simulating Different Faults in a Rotor Kit Enayet B. Halim
	Fault Detection of Rotating Machinery from Bicoherence Analysis of Vibration Data Enayet B. Halim, M.A.A. Shoukat Choudhury, Sirish L. Shah, Ming J. Zuo
	Detection and Diagnosis of Plant-Wide Oscillations Using the Spectral Envelope Method Hailei Jiang, M.A.A. Shoukat Choudhury, Sirish L. Shah, John W. Cox, Michael A. Paulonis
	Adaptive Stable PID Controller with Parallel Feedforward Compensator Z. Iwai, S. L. Shah, I. Mizumoto, L. Liu, H. Jiang
	Detection and Isolation of Model-Plant Mismatch for Multivariate Dynamic Systems Hailei Jiang, Weihua Li, Sirish L. Shah
	Detection and Diagnosis of Plant-Wide Oscillations from Industrial Data Using the Spectral Envelope Method Hailei Jiang, M.A.A. Shoukat Choudhury, Sirish L. Shah
	Inferential Sensors for Estimation of Polymer Quality Parameters: Industrial Application of a PLS-based Soft Sensor for a LDPE Plant Rumana Sharmin, U. Sundararaj, S. L. Shah, L. V. Griend, Yi-Jun Sun
	Data-driven Kalman Filters for Non-uniformly Sampled Multirate Systems with Application to Fault Diagnosis Weihua Li, S. L. Shah
	Adaptive Process Monitoring via Multichannel EIV Lattice Filters Weihua Li, A. Bhargava, S. L. Shah
	Subspace Identification for FDI in Systems with Non-uniformly Sampled Multirate Data Weihua Li, Zhengang Han, Sirish L. Shah
	Fault Detection and Isolation in the Presence of Process Uncertainties Zhengang Han, Weihua Li, Sirish L. Shah
	Kalman Filters for Non-uniformly Sampled Multirate Systems Weihua Li, Sirish L. Shah, Deyun Xiao
	Structured Residual Vector-based Approach to Sensor Fault Detection and Isolation Weihua Li, Sirish L. Shah
	Subspace Identification of Continuous Time Models for Process Fault Detection and Isolation Weihua Li, Harigopal Raghavan, Sirish L. Shah
	Kalman Filters in Non-uniformly Sampled Multirate Systems: For FDI and Beyond Weihua Li, Sirish L. Shah, Deyun Xiao
	Detection and Diagnosis of Plant-wide Oscillations - Submitted for publication in the Canadian J. of Chemical Engineering May 2006 M.A.A. Shoukat Choudhury, Vinay Kariwala, Nina F. Thornhill, Hisato Douke, Sirish L. Shah, Haruo Takada, J. Fraser Forbes
	Identification of delay dominant recycle systems - Accepted for publication in the J. of Process Control, 2006 Gopaluni , R.B., H. Raghavanz, R.S. Patwardhanx, S.L. Shah, G.A. Dumont
	Building Multivariate Models from Compressed Data Syed A. Imtiaz, M.A.A. Shoukat Choudhury, Sirish L. Shah
	Detection and Diagnosis of Plant-wide Oscillations from Industrial Data Using the Spectral Envelope Method Hailei Jiang, M.A.A. Shoukat Choudhury, Sirish L. Shah
	Estimation of States of Nonlinear Systems Using a Particle Filter Syed A. Imtiaz, Kallol Roy, Biao Huang, Sirish L. Shah, Phanindra Jampana
	Non-Negative Matrix Factorization for Detection and Diagnosis of Plant-Wide Oscillations Paper submitted for publication in IECR&D October 2006 Arun K. Tangirala, Jitendra Kanodia, Sirish L. Shah
	Novel Identification Method from Step Response, Control Engineering Practice Salim Ahmed, Biao Huang, Sirish L. Shah (2006)
	Parameter and Delay Estimation of Continuous-Time Models from Irregularly Sampled Output International Synposium on Advanced Control of Chemical Processes, Gramado, Brazil (2006) Salim Ahmed, Biao Huang, Sirish L. Shah

●Presentations Available for Downloading (back to top)

	Data Mining for Knowledge Extraction in Data Overloaded Process Environments - Part 1 S.L. Shah, D. Chang, V. Kumar, H. Raghavan, S. Choudhury, S. Lakshminarayanan, H. Fujii
	Data Mining for Knowledge Extraction in Data Overloaded Process Environments - Part 2 S.L. Shah, D. Chang, V. Kumar, H. Raghavan, S. Choudhury, S. Lakshminarayanan, H. Fujii
	Detection and Isolation of Model-Plant-Mismatch for Multivariate Dynamic Systems Hailei Jiang, Weihua Li, Sirish Shah
	Detection and Diagnosis of Plant-Wide Oscillations Using the Spectral Envelope Method (CSCHE 2005.10.18) Hailei Jiang, M.A.A. Shoukat Choudhury, Sirish L. Shah
	Detection and Diagnosis of Plant-Wide Oscillations Using the Spectral Envelope Method (Matrikon 2005.11.4) Hailei Jiang, M.A.A. Shoukat Choudhury, Sirish L. Shah
	Soft Sensor Development to Predict Melt Flow Index for a LDPE/EVA Plant Rumana Sharmin, S. L. Shah, U. Sundararaj

●NSERC_IRC Seminar - Program and Presentation Files for Download(back to top)

	Technical Review Meeting Program
	Talk 1 - Temporal and Spectral Methods for Process and Performance Monitoring Sirish L. Shah
	Talk 2 Part 1 - Detection and Quantification of Impeller Wear in Tailing Pumps and Detection of Faults in Rotating Equipmen Using Time Frequency Averaging Across All Scales Enayet B. Halim, Sirish L. Shah and M.A.A. Shoukat Choudhury
	Talk 2 Part 2 - Application of Inductive Monitoring System (IMS) for Monitoring Industrial Processes Enayet B. Halim, Harigopal Raghavan, Sirish L. Shah and Frank Vanderham
	Talk 3 - Image Based Interface Level Control in a Separation Cell P.V. Jampana, S.L. Shah, R. Kadali and T. Hrycay
	Talk 4 - MPC Monitoring of KHU and NHU Hailei Jiang, Sirish Shah, Biao Huang, Bruce Wilson and Rohit Patwardhan
	Talk 5 - MPC Monitoring: Detection and Diagnosis of Model Errors Abhijit Badwe, Rohit Patwardhan
	Talk 6 - Model Predictive Control: Developing Nonlinear Models from Operating Data Harigopal Raghavan, Rohit Patwardhan
	Talk 7 - Nonlinear System Identification Using Support Vector Regression Saneej B.C.
	Talk 8 - Replacement of Missing Data and Outliers Using Wavelet Transform Methods Liqian Zhang
	Talk 9 - Analysis of Process and Biological Data Using Support Vector Machines Sankar Mahadevan
	Talk 10 - Smart Alarm Monitoring Iman Izadi

●Valve Stiction Model (back to top)

Control Valve Stiction Model Shoukat Choudhury, Sirish Shah & Nina Thornhill Contains: ExampleToSimulateStiction_FOPTDprocess.mdl, StictionModel.m, StictionSimulationBlock.mdl

●Just Published (back to top)

Diagnosis of Process Nonlinearities and Valve Stiction Data Driven Approaches Shoukat Choudhury, M.A.A., Shah, Sirish L., Thornhill, Nina F. Available: November 3, 2008 ISBN: 978-3-540-79223-9 Please click here to find out more information on this book.

●Photo Gallery (back to top)

	Welcome to my photo gallery. Click on the thumbnail to view the picture.
	CPC7 participants (Bonvin, Shah, Rawlings and Marquardt) on the Lake Louise xcountry ski trail in January 2006. Photo courtesy of Steve Miller (Eastman Chemicals).
	Group photo taken on the banks of the North Saskatchewan River - Edmonton, AB (July 2006)
	Academic colleagues - Old Gate of Tsinghua University, Beijing (August 2006)
	Academic colleagues from Zhejiang University, Hangzhou (August 2006)
	Bhushan Gopaluni (on the right) defended his PhD thesis on "Iterative Identification and Predictive Control". Lennart Ljung was the external examiner, other members of the examination committee were: Biao Huang, Fraser Forbes, Horacio Marquez (ECE) & Sirish Shah.
	A group photo taken at the workshop presented by Professor Lennart Ljung.
	Professor Goodwin from University of Newcastle, Australia visited the Department and gave a workshop on May 7th, 2003 and a seminar titled "State and Parameter Estimation for Linear and Nonlinear Systems".
	Professor Shankar Narasimhan (far right) has been a Visiting Professor from IIT-Madras at the University of Alberta in the 2002-2003 academic term.
	Professor Iwai, Former Dean of Engineering at Kumamoto University in Japan visited the University of Alberta in February 2003. He is shown here with Dean David Lynch.
	Graduate student Edward Bai is carrying out experimental evaluation of advanced Fault Detection and Isolation methods on a computer controlled pilot scale process.

●Links (back to top)

Informatics Circle of Research Excellence (iCORE)

Matrikon

Alberta Ingenuity Fund

Alberta Science and Research Authority (ASRA)

Alberta Innovation and Science

Computer Process Control Group

Faculty of Engeering, University of Alberta

http://www.nserc.gc.ca/news/2001/p010130.htm

U of A Express News Announcement of Dr. Shah's Chair (Jan. 30, 2001)

***Our CEP article is one of the top 25 downloaded papers January - March 2006! http://top25.sciencedirect.com/?journal_id=09670661

***for Top 25 Articles in Automatica in 2004 go to:
http://top25.sciencedirect.com/?journal_id=00051098
See the paper by Choudhury, Shah and Thornhill

●Contact (back to top)

Please feel free to contact me for questions.

Sirish L. Shah, Ph.D. (Alberta), P. Eng., & Professor
714A Chemical and Materials Engineering, University of Alberta
Edmonton, Alberta CANADA T6G 2G6
Ph: (780) 492-5162; Fax: (780) 492-2881
slshah@ualberta.ca

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