An efficient nonlinear predictive control algorithm with neural models and its application to a high-purity distillation process

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4029 LNAI, Issue , 2006, Pages 76-85

  Ławryńczuk, Maciej ^a   Tatjewski, Piotr ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; DISTILLATION; ETHANE; ETHYLENE; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS;

CONTROL PERFORMANCE; LOCAL LINEARISATION; NON-CONVEX OPTIMISATION;

ALGORITHMS;

EID: 33746219699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11785231_9     Document Type: Conference Paper

References (15)

1. Haykin, S.: Neural networks - a comprehensive foundation. Prentice Hall. (1999)
2. Henson, M. A.: Nonlinear model predictive control: current status and future directions. Computers and Chemical Engineering. 23 (1998) 187-202
3. Liu, G. P., Kadirkamanathan, V., Billings, S. A.: Predictive control for non-linear systems using neural networks. International Journal of Control. 71 (1998) 1119-1132
4. th International Conference on Methods and Models in Automation and Robotics. Miedzyzdroje, Poland. (2004) 503-510
5. Ławryńczuk, M.: Nonlinear model predictive control algorithms with neural models of processes (in Polish). PhD thesis. Warsaw University of Technology (2003)
6. th International Conference on Methods and Models in Automation and Robotics. Szczecin, Poland. (2002) 781-786
7. Maciejowski, J. M.: Predictive control with constraints. Prentice Hall. (2002)
8. Mahfouf, M., Linkens, D. A.: Non-linear generalized predictive control (NLGPC) applied to muscle relaxant anaesthesia. International Journal of Control. 71 (1998) 239-257
9. Michalska, H., Mayne, D. Q.: Robust receding horizon control of constrained non-linear systems. IEEE Transactions on Automatic Control. 38 (1993) 1623-1633
10. Morari, M., Lee, J. H.: Model predictive control: past, present and future. Computers and Chemical Engineering. 23 (1999) 667-682
11. Parisini, T., Sanguineti, M., Zoppoli, R.: Nonlinear stabilization by recedinghorizon neural regulators. International Journal of Control. 70 (1998) 341-362.
12. Piche, S., Sayyar-Rodsari, B., Johnson, D., Gerules, M.: Nonlinear model predictive control using neural networks. IEEE Control Systems Magazine. 20 (2000) 56-62
13. Qin, S. J., Badgwell, T. A.: A survey of industrial model predictive control technology. Control Engineering Practice. 11 (2003) 733-764
14. Tatjewski, P., Ławryńczuk, M.: Soft computing in model-based predictive control. International Journal of Applied Mathematics and Computer Science. 16 (2006) 101-120.
15. Tatjewski P.; Advanced Control of Industrial Processes. Structures and Algorithms (in Polish). EXIT Academic Publishing House. Warsaw. (2002)