Disturbance classification and rejection using pattern recognition methods

Industrial and Engineering Chemistry Research

Volumn 42, Issue 14, 2003, Pages 3321-3333

  Meel, Anjana ^a   Venkat, Aswin N ^a,b   Gudi, Ravindra D ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; NONLINEAR SYSTEMS; PATTERN RECOGNITION;

STIRRED TANK REACTORS;

CHEMICAL REACTORS;

CLASSIFICATION;

ARTICLE; CONTROL SYSTEM; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; NONLINEAR SYSTEM; PATTERN RECOGNITION;

EID: 0038676322     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0206857     Document Type: Article

References (32)

1. Huang, Y.; Reklaitis, G. V.; Venkatasubramanian, V. Dynamic Optimization Based Fault Accommodation. Comput. Chem. Eng. 2000, 24, 439.
2. Kavuri, S. N.; Venkatasubramanian, V. Neural Network Decomposition Strategies for Large Scale Fault Diagnosis. Int J. Process Control 1994, 59, 767.
3. Kavuri, S. N.; Venkatasubramanian, V. Combining Pattern Classification and Assumption-based Techniques for Process Fault Diagnosis. Comput. Chem. Eng. 1992, 16 (4), 299.
4. Venkatasubramanian, V.; Rengaswamy, R.; Kavuri, S. N. A Review of Process Fault Detection and Diagnosis. 2. Qualitative Models and Search Strategies. 2003, 27(3), 313.
5. Blanke, M.; Frei, D.; Kraus, F.; Patton, R. J.; Starowiecki, M. What is Fault Tolerant Control? Proc. 4th IFAC Symp. 2001, 1, 41.
6. Yabuki, Y.; MacGregor, J. F. Product Quality Control in Semi-Batch Reactors Using Mid-Course Correction Policies. Ind. Eng. Chem. Res. 1997, 36 (4), 1268.
7. Himmelblau, D. M. Fault Detection and Diagnosis in Chemical and Petro Chemical Processes; Elsevier: New York, 1978; p 307.
8. Singhal, A.; Seborg, D. E. Matching Patterns from Historical Data Using PCA and Distance Similarity Factors. Proc. Am. Control Conf., Arlington, VA 2001, 1759.
9. Thornhill, N. F.; Shah, S. L.; Huang, B.; Vishnubhotla, A. Spectral Principal Component Analysis of Dynamic Process Data. Control Engineering Practice 2002, 10 (8), 833.
10. Venkatsubramanian, V.; Chan, K. A Neural Network Methodology for Process Fault Diagnosis. AIChE J. 1989, 35 (12), 1993.
11. Blanke, M.; Zamanbadi, R. I.; Bogh, S. A.; Lunau, C. P. Fault Tolerant Control Systems - A Holistic View. Control Engineering Practice 1997, 5, 693.
12. Staroswiecki, M.; Gehin, A. L. From Control to Supervision. Proc. 4th IFAC Symp. 2001, 1, 317.
13. Zhao, Q.; Jiang, J. Reliable State Feedback Control System Design Against Actuator Failures. Automatica 1998, 34, 1267.
14. Eich, J.; Sattler, B. Fault Tolerant Control System Design using Robust Control Techniques. Proceedings of the IFAC SAFEPROCESS'97, Hull, U.K., 1997.
15. Betta, G.; Liguori, C.; Pietrosanto, A. Design of Automatic Measurement Stations with Fault Accommodation Facilities. Measurement 2001, 30, 129.
16. Tortora, G.; Kouvaritakis, B.; Clarke, D. W. Simultaneous Optimization of Tracking Performance and Accommodation of Sensor Faults. Int. J. Control 2002, 75, 163.
17. Polycarpou, M. M. Fault Accommodation of a Class of Multivariable Nonlinear Dynamical Systems Using a Learning Approach. IEEE Trans. Autom. Control 2001, 46, 736.
18. Liu, W. An Online Expert System Based Fault Tolerant Control System. Expert Syst. Appl. 1996, 11, 59.
19. Jiang, J.; Zhao, Q. Reconfigurable Control Based on Imprecise Fault Identification. Proc. Am. Control Conf. 1999, 1, 114.
20. Rauch, E. R. Autonomous Control Reconfiguration. IEEE Control Syst. Mag. 1995, 15, 37.
21. Yen, G. G.; Ho, L. W. Online Multi-Model Based Fault Diagnosis and Accommodation. Proc. IEEE Int. Symp. Intell. Control 2001, 73.
22. Prakash, J.; Patwardhan, S. C.; Narasimhan, S. A Supervisory Approach to Fault-Tolerant Control of Linear Multivariable Systems. Ind. Eng. Chem. Res. 2002, 41, 2270.
23. Venkat, A. N.; Gudi, R. D. Fuzzy Segregation-based Identification and Control of Nonlinear Dynamic Systems. Ind. Eng. Chem. Res. 2002, 41 (3), 538.
24. Polycarpou, M. M. An Online Approximation Approach to Fault Diagnosis and Accommodation. Proc. Am. Control Conf. 1994, 2, 1722.
25. Rakar, A.; Juricic, D. Diagnostic Reasoning under Conflicting Data: the Application of the Transferable Belief Model. J. Process Control 2002, 12, 55.
26. Skogestad, S.; Postlethwaite, I. Multivariable Feedback Control: Analysis and Design; John Wiley and Sons: New York, 1996.
27. Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms; Plenum Press: New York, 1981.
28. Bezdek, J. C.; Pal, N. R. Two Soft Relatives of Learning Vector Quantization. Neural Networks 1995, 8, 729.
29. Gustafson, D. E.; Kessel, W. Fuzzy Clustering with a Fuzzy Covariance Matrix. Proc. IEEE-CDC 1979, 2, 761.
30. Krishnapuram, R.; Keller, J. A Possibilistic Approach to Clustering. IEEE Trans. Fuzzy Syst. 1993, 1 (2), 98.
31. Huang, B.; Shah, S. L. Closed Loop Identification: a Two Step Approach. J. Process Control 1997, 7, 425.
32. Dayal, B. S.; MacGregor, J. F. Recursive Exponentially Weighted PLS and its Applications to the Adaptive Control and Prediction. J. Process Control 1997, 7, 169.