Biao Huang's Research Group

Control Performance Assessment Toolbox Control Performance Monitoring Multivariate Control Performance Assessment Model Predictive Control Performance Monitoring Closed-loop identification Fuel cells Trial software download

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Updated Oct. 31, 2008

Project Title	Algorithm/Program/Manual Developers	Trial Software (Matlab p-code, copyrighted, for testing only, acknowledgement needed from research users.) Report bugs to mailto:biao.huang@ualberta.ca
Univariate control performance assessment	Biao Huang, Fangwei Xu, Kwanho Lee, Yuri Shardt	uvpa, manual, data generator
Multivariate Control System Performance Assessment	Biao Huang, Fangwei Xu, Kwanho Lee, Yuri Shardt	mvpa, Manual, Examples compact data generator, example Matlab code for compact data generator
Performance assessment of model predictive control	Biao Huang, Fangwei Xu, Kwanho Lee, Yuri Shardt	LMIPA,  Manual comprehensive data generator, example Matlab code for comprehensive data generator
Closed-loop valve stiction detection and quantification	Kwanho Lee, Zhengyun Ren, Biao Huang, Shanshan Liu, Yuri Shardt	Stiction Detection/Quantification Manual Example Matlab code for data generation
Data-driven approach to performance monitoring	Yuri Shardt, Biao Huang	DataDriven, manual
Minimum Variance and LQG benchmarking	Nima Danesh Pour, Biao Huang	LQGPA, manual
Closed-loop identification for step response model	Nima Danesh Pour, Biao Huang, Sirish Shah	ClsysID (rar),ClsysID (Winzip) manual
Solid oxide fuel cell model	Yutong Qi, Biao Huang	model, parameter

References:

Performance assessment of MPC

1. Book: Huang, B. and R. Kadali, Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach, Springer Verlag, ISBN: 978-1-84800-232-6, Chapter 9: State-of-the-art MPC Performance Monitoring.
2. K. Lee, B. Huang, E.C. Tamayo, Sensitivity Analysis for Constraint and Variability Tuning in Performance Assessment of Industrial MPC, Control Engineering Practice, in press, 2008.
3. F. Xu, B. Huang, S. Akande, Performance assessment of model predictive control for variability and constraint tuning, Industrial & Engineering Chemistry Research, 46，1208-1219, 2007.
4. N. Agarwal, B. Huang, E.C. Tamayo, Assessing MPC performance Part 1: Probabilistic approach for constraint analysis, Industrial & Engineering Chemistry Research, 46, 8101-8111, 2007.
5. N. Agarwal, B. Huang, E.C. Tamayo, Assessing MPC performance Part II: Bayesian approach for  constraint tuning, Industrial & Engineering Chemistry Research, 46, 8112-8119, 2007
6. F. Xu, Assessment of Control System Performance: The Effects of Disturbances, PhD Thesis, University of Alberta, 2007.
7. B. Huang, Bayesian methods for control loop monitoring and diagnosis, keynote at the 8^th International Symposium on Dynamics and Control Process System, Cancun, June 6-8, 2007.
8. F. Xu, B. Huang, E.C. Tamayo, Assessment of economic performance of model predictive control through variance/constraint tuning, presented at 2006 IFAC International Symposium for Advanced Control of Chemical Processes (ADCHEM), Brazil, April 2-5, 2006.

Univariate and Multivariate Control System Performance Assessment

1. Book: Huang, B. and R. Kadali, Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach, Springer Verlag, ISBN: 978-1-84800-232-6, Chapter 8: Control Loop Performance Assessment: Conventional Approach.
2. B. Huang, Towards optimal MPC performance: industrial tools for multivariate control monitoring and diagnosis, speech for Academic Viewpoint, SICOP Round Tables on Asset Management, International Workshop on Solving Industrial Control and Optimization Problems, Cramado, Brazil, April 6-7, 2006.
3. Huang, B., Multivariate Statistical Methods for Control Loop Performance Assessment, PhD Thesis, University of Alberta, 1997.
4. Huang, B. and S.L. Shah, Performance Assessment of Control Loops: Theory and Applications, Book, Springer Verlag, 1999, ISBN: 1-85233-639-0
5. Huang, B., S.L. Shah, and E.Z. Kwok, Good, Bad or Optimal? Performance Assessment of Multivariable Process, Automatica, 33(6), pp. 1175-1183, 1997.

Stiction Detection and Quantification

1. K. Lee, Z. Ren, B. Huang, Novel closed-loop stiction detection and quantification method via system identification, 2008 ADCONIP conference, Jasper, Canada.