Control performance assessment toolbox
MPC performance assessment toolbox
Closed-loop Identification

 

Performance Assessment Software Homepage (Temporary)

Return to Biao Huang's Homepage

PROJECTS
Trial Softwares. Matlab p-code, copyrighted, for testing only, acknowledgement needed from research users
Report bugs to biao.huang@ualberta.ca

Univariate Control Performance Assessment
Developers: Biao Huang, Fangwei Xu, Kwanho Lee, Yuri Shardt

·  uvpa

·  manual

·  data generator

Multivariate Control System Performance Assessment
Developers: 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
Developers: 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
Developers: Kwanho Lee, Zhengyun Ren, Biao Huang, Shanshan Liu, Yuri Shardt

·  Stiction Detection/Quantification

·  Manual

·  Example Matlab code for data generation

Data-drive approach to performance monitoring
Developers: Yuri Shardt, Biao Huang

·  Data Driven

·  Manual

Minimum Variance and LQC benchmarking
Developers: Nima Danesh Pour, Biao Huang

·  LQGPA

·  Manual

Closed-loop identification for step response model
Developers: Nima Danesh Pour, Biao Huang, Sirish Shah

·  ClsyslD (rar)

·  ClsysID (Winzip)

·  Manual

 

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 8th 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: 1-85233-639-4

  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.

University of Alberta | Chemical and Materials Engineering | Graduate | Undergraduate