●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. S. Ahmed, B. Huang, S.L. Shah, "Identification from Step Response with Transient Initial Conditions", Journal of Process Control, Accepted for publication, 2007
    

2. E.B. Halim, M.A.A.S. Choudhury, S.L. Shah, M.J. Zuo,"Time Domain Averaging Across All Scales: A Novel Method for Detection of Gearbox Faults", Accepted for publication in Mechanical Systems and Signal Processing, 2007
    

3. M. Sahebsara, T. Chen, 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
    

4. A.K. Tangirala, K. Kanodia, S.L. Shah. "Non-negative Matrix Factorization for Detection and Diagnosis of Plant-Wide Oscillations." Accepted for publication in Industrial Eng. Chemistry Res and Development, 2007
    

5. S. Narasimhan, S.L. Shah. "Model Identification and Error Covariance Matrix Estimation from Noisy Data Using PCA." In press, Control Engineering Practice, 2007
    

6. M. Sahebsara, T. Chen, 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
    

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

8. H. Jiang, 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
    

9. S.A. Imtiaz, M.A.A.S. Choudhury, S.L. Shah, "Building Multivariate Model from Compressed Data", Industrial Engineering Chemistry Research and Development, 46(2), pp. 481-491, 2007
    
10. S. Ahmed, B. Huang, S.L. Shah, "Novel Identification Method from Step Response", Control Engineering Practice, 15(5)m pp 545-556, 2007 (#1 most downloaded paper in CEP in Jan-Mar, 2007)
     

11. R. Sharmin, U. Sundararaj, S.L. Shah, L. VandeGriend, 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
     

12. R.B. Dopaluni, H. Raghavan, R.S. Patwardhan, S.L. Shah, G.A. Dumont, "Identification of Delay Dominant Recycle Systems", Journal of Process Control 16(9), pp 903-912, 2006
     

13. M. S ahebsara, T. Chen, S.L. Shah, "Frequency-Domain Parameter Estimation of General Multi-Rate Systems", Computers and Chemical Engineering, 30, pp 838-849, 2006
     

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

15. S. Ahmed, B. Huang, S.L. Shah, "Parameter and Delay Estimation of Continuous-Time Models Using a Linear Filter", Journal of Process Control, Vol. 15, Issue 4, pp 323-331, 2006 (In the list of Top 10 most downloaded papers in JPC Jan-Mar, 2006)
     

16. Weihua Li, S.L. Shah, Deyun Xiao, "Kalman Filters in Non-uniformly Sampled Multirate Systems: for FDI and Beyond",
    In press in Automatica, 2007
     

17. Weihua Li, Zhengang Han, S.L. Shah, “Subspace Identification for FDI in Systems with Non-Uniformly Sampled Multirate Data”, Automatica, Vol. 42, No. 4, pp 619-627, 2006
     

18. J. Sheng, T. Chen, 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
     

19. S. Ahmed, B. Huang, S.L. Shah, "Parameter and Delay Estimation of Continuous-Time Models Using a Linear Filter, In press, Journal of Process Control, 2005
     

20. S.C. Patwardhan, S. Manuja, S. Narasimhan, S.L. Shah, “From Data to Diagnosis and Control Using Generalized Orthonormal Basis Filters. Part II: Model Predictive and Fault Tolerant Control”, JPC, 16, 157-175, 2006
     

21. S.C. Patwardhan, S.L. Shah, “From Data to Diagnosis and Control Using Generalized Orthonormal Basis Filters: Development of State Observers”, Journal of Process Control (JPC), 15, 819-835, 2005
     

22. J.A. Rossiter, J. Sheng, T. Chen, S.L. Shah, "Interpretation of and Options in Dual-Rate Predictive Control", Journal of Process Control, 15, no 2, pp. 135-148, 2005
     

23. H. Raghavan, A.K. Tangilara, B. Gopaluni, S.L. Shah, "Identification of Chemical Processes with Irregular Output Sampling", Control Engineering Practice, 14, pp467-480, 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)
     

24. A.K. Tangirala, S.L. Shah, N.F. Thornhill, "PSCMAP: A New Tool for Plant-Wide Oscillation Detection", Journal of Process Control, 15, pp 931-941, 2005
     

25. I. Mizumoto, R.B. Gopaluni, S.L. Shah, Z. Iwai, “Robust Adaptive Control for Strict-Feedback Nonlinear Systems", Asian Journal of Control, Vol. 7, No. 3, pp. 231-243, September 2005
     

26. H. Raghavan, R.B. Gopaluni, S.L. Shah, J. Pakpahan, R.S. Patwardhan, C. Robson, "Gray-Box Identification of Dynamic Models for the Bleaching Operation in a BCTMP Mill". Journal of Process Control, 15, pp 451-468, 2005
     

27. Z. Han, W. Li, S.L. Shah, "Fault Detection and Isolation in Presence of Process Uncertainties",
    Control Engineering Practice, Vol. 13, No. 5, pp 587-599, 2005
     

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

29. T. Yamamoto, S.L. Shah, "Design and Experimental Evaluation of a Multivariable Self-Tuning PID Controller", IEEE Proc. Control Theory Appl., Vol. 151, No. 5, pp 645-652, September 2004
     

30. M.A.A.S. Choudhury, S.L. Shah, N.F. Thornhill, "Diagnosis of Poor Control Loop Performance Using Higher Order Statistics", Automatica, Vol 40, 10, pp. 1719-1728, October 2004 (Identified as one of top 25 highly cited articles in Automatica in 2004)
     

31. H. Liu ,S.L. Shah, W. Jiang, "On-Line Outlier Detection and Data Cleaning”, Computers and Chemical Engineering, 28, pp 1635-1647, 2004
     

32. R.B. Gopaluni, I. Mizumoto, S.L. Shah, "A Robust Nonlinear Adaptive Backstepping Controller for a CSTR", Ind. Eng. Chem. Res., 42, pp. 4628-4644, 2003
     

33. 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
     

34. 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
     

35. 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 2003, Pages 1617-1626.
     

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

37. Gopaluni, B., Patwardhan, R. and Shah, S.L., “MPC Relevant Identification: Tuning the Noise Model”, In press: Journal of Process Control, Vol 14, 2004
     

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

39. Patwardhan, R., Shah, S.L. and Qi., K., “ Assessing the Performance of Model Predictive Controllers”, In press, Canadian Journal of Chemical Engineering, 2003, 39 Manuscript pages
     

40. Thornhill, N.F., Shah, S.L. and Huang, B., 2003, Controller performance assessment in set point tracking and regulatory control, International Journal of Adaptive Control and Signal Processing, 17, 709-727.
     

41. 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 2003, Volume 11, Number 1, pp 43-51
     

42. 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, Aug. 2003, pp 407-422.
     

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

44. 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
     

45. 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.
     

46. Li, D., S.L. Shah and T. Chen, “ Analysis of dual-rate inferential control systems’, Automatica, 38, 2002, pp 1053-1059
     

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

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

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

50. 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
     

51. 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.
     

52. 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, 2001, pp 485-499
     

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

54. 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
     

55. 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, 2001, pp 587-599
     

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

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

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

59. 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,, 2000, pp 247-260

Papers Under Review (back to top)

1. Liu, H., W. Jiang, A.K. Tangirala and S.L. Shah (2004). An Adaptive Regression Based Scheme for Multivariate Monitoring. Submitted to Journal of Chemometrics.
    

2. Tangirala, A.K., M. Faris, Y. Zhang and S.L. Shah (2004). Application of Multiscale PCA to Sheet break diagnosis. Submitted to Industrial & Engineering Chemistry Research.
   
   

3. Tangirala, A.K., S.L. Shah and N.F. Thornhill (2004). Plant-wide oscillation detection and loop performance assessment - A systematic case study. Submitted to Journal of Process Control.

Technical Reports (back to top)

1. Han, Z. and Shah, S.L. (2002). Precarn Intelligent Bleaching System - Millar Western Bleaching Process Softsensor Development Report. Technical Report, Precarn ? Intelligent Bleaching System Project, August 2002.
   
   

2. Han, Z. and Shah, S.L. (2003). Precarn Intelligent Bleaching System ?Final Report. Technical Report, Precarn ?Intelligent Bleaching System Project, June 2003.

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

1. H. Jiang, Biao Huang, S.L. Shah, "Control Relevant Closed-Loop Model Validation Based on the Two-Model Divergence Method", Accepted for presentation at the 46th IEEE CDC, December 2007.
    
2. S.C. Patwardhan, J. Prakash, S.L. Shah, "Soft Sensing and State Estimation: Review and Recent Trends", Accepted for presentation at the IFAC Conference on Cost Effective Automation (IFAC-CEA'07), To be helf at Monterrey Mexico, October 3-5 2007.
    

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

4. T. Yamamoto, S.L. Shah, "Design of a Performance-Adaptive PID Controller", Proc. of European Control Conference 2007, Kos Greece, July 2007.
    

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

6. S.C. Patwardhan, S. Narasimhan, S.L. Shah, "Active Fault Tolerant Control Using Innovation Form of State Space Models", Proc. of European Control Conference, Kos Greece, July 2007.
    

7. Y. Ohnishi, K. Takao, T. Yamamoto, S.L. Shah, "Design of a PID Controller with a Performance-Driven Adaptive Mechanism", Proc. of 2007 American Control Conference, New York, July 2007.
    
8. E.B. Halim, M.A.A.S. Choudhury, S.L. Shah, M.J. Zuo, "Fault Detection of Rotating Machinery from Bicoherence Analysis of Vibration Data", Proc. of IFAC - Safe Process 2006, Beijing, August 2006.
    

9. S.A. Imtiaz, S.L. Shah, R. Patwardhan, H. Palizban, J. Ruppenstein, "Development of Online MOnitoring Scheme for Prediction and Diagnosis of Sheet-Break in a Pulp and Paper Mill", Proc. of IFAC - Safe Process 2006, Beijing, August 2006.
    

10. H. Jiang, Weihua Li, S.L. Shah, "Detection and Isolation of Model_Plant Mismatch for Multivariate Dynamic Systems", Proc of IFAC - Safe Process 2006, Beijing, August 2006.
     

11. H. Jiang, M.A.A.S. Choudhury, S.L. Shah, "Detection and Diagnosis of Plant-Wide Oscillations via The Spectral Envelope Method", In proceedings of IFAC-International Symposium on Advanced Control of Chemical Process (ADCHEM), Gramado Brazil, 2006.
     

12. S. Ahmed, B. Huang, S.L. Shah, "Parameter and Delay Estimation of Continuous-Time Models From Irregularly Sampled Output", In proc. ADCHEM, Brazil, April 2006.
     

13. M.A.A.S. Choudhury, M. Jain, S.L. Shah, "Detection and Quantification of Valve Stiction", Proc. of the 2006 ACC, Minneapolis USA, July 2006. (Awarded best paper-in-the-session prize)
     

14. M. Sahebsara, T. Chen, S.L. Shah, "Optimal Fast-Rate Soft-Sensor Design for Multi-Rate Processes", Proc. of American Control Conference, pp 976-981, Minneapolis USA, June 2006.
     

15. E.B. Halim, S.L. Shah, M.J. Zuo, M.A.A.S. Choudhury, "Fault Detection of Gearbox from Vibration Signals Using Time-Frequency Domain Averaging", Proc. of American Control Conference, Minneapolis USA, June 2006.
     

16. Z. Iwai, S.L. Shah, I, Mizumoto, L. Liu, Hailei Jiang, "Adaptive Stable PID Controller with Parallel Feedforward Compensator", In proceedings of International Conference Control, Automation, Robotics and Vision (ICARCV), Singapore, 2006.
     

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

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

19. 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
     

20. 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.
     

21. Choudhury, M. A. A. S., Thornhill, N. F. and Shah, S. L., " A Data-Driven Model for Valve-Stiction", to be presented at the IFAC ADCHEM 2003 meeting,, Jan 11-14, 2004, HongKong.
     

22. Gopaluni, R.B., H. Raghavan, S.L.Shah, “System Identi¯cation from Multi-Rate Data”,  to be presented at the IFAC ADCHEM 2003 meeting, Jan 2004, Honkkong
     

23. 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.
     

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

25. 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
     

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

27. 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.
     

28. 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.
     

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

30. 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
     

31. 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.
     

32. 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, pp  167-172
     

33. 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
     

34. 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
     

35. 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
     

36. 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.
    
    

37. 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. 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.
    

2. 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.
    

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

4. 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.
    

5. Liu*, H.; Shah, S.L.; Jiang, H. An Adaptive Regression Adjusted Fault & Identification Scheme. 2004 Annual CSChE Meeting in Calgary, Oct 3-6, 2004.
    

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

7. Alleyne*, I.; Shah, S.L.; Moudgalys, K.; 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.
    

8. 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.
    

9. Li*, W.; 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.
    

10. Ahmed*, S.; Huang, B; 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.
     

11. Chang*, D.; Shah, S.L.; Sykes, B.; 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.
     

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

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

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

15. Gopaluni, R.B., H. Raghavan, 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
     

16. 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.
     

17. 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.
     

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

19. 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.
     

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

21. 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.
     

22. 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.
     

23. 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.
     

24. 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.
     

25. 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, Nov. 2002.
     

26. 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.
     

27. 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.
     

28. 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.
     

29. 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
     

30. 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
     

31. 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
     

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

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

34. B. Gopaluni, S.L. Shah and R. Patwardhan " Iterative Identification and Control for MPC", Presented at the Annual meeting of the AIChE, Nov. 2001
     

35. R. Patwardhan , B. Gopaluni and S.L. Shah, " Application of Kharitonov's Theorem to MPC", Presented at the Annual meeting of the AIChE, Nov. 2001
     

36. 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, Nov. 2001
     

37. S. Choudhury and S.L. Shah, " Detection and diagnosis of valve problems using higher-order statistics", Presented at the Annual meeting of the AIChE, Nov. 2001
     

38. 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
     

39. 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.
     

40. 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, Nov., 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 Nina Thornhill, Shoukat Choudhury, Sirish Shah 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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