Adaptive Extremum Seeking Control of Nonisothermal Continuous Stirred Tank Reactors with Temperature Constraints

Proceedings of the IEEE Conference on Decision and Control

Volumn 5, Issue , 2003, Pages 4753-4758

  Guay, M ^a   Dochain, D ^b   Perrier, M ^c  

^a QUEEN S UNIVERSITY   (Canada)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CHEMICAL REACTORS; COMPOSITION; CONSTRAINT THEORY; CONTROL EQUIPMENT; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; FEEDBACK CONTROL; LYAPUNOV METHODS; MATRIX ALGEBRA; MIXTURES; THEOREM PROVING;

RATE EXPRESSIONS; STIRRED TANK REACTORS; TEMPERATURE CONSTRAINTS;

NONLINEAR CONTROL SYSTEMS;

EID: 1542320170     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. B.D. Anderson, R.R. Bitmead, C.R.J. Johnson, P.V. Kokotovic, R.L. Kosut, I.M. Mareels, L. Praly, and B.D. Riedle. Stability of Adaptive Systems: Passivity and Averaging Analysis. MIT Press, Cambridge, MA, 1986.
2. K.J. Astrom and B. Wittenmark. Adaptive Control, 2nd Edition. Addison-Wesley, Reading, MA, 1995.
3. J.G. Van de Vusse. Plug-flow reactor versus tank reactor. Chem.Eng.Sc., 19:994-997, 1964.
4. S. Drkunov, U. Ozguner, P. Dix, and B. Ashrafi. Abs control using optimum search via sliding modes. IEEE Trans. Contr. Syst. Tech., 3:79-85, 1995.
5. K. I. Funahashi. On the approximate realization of continuous mappings by neural networks. Neural Networks, 2:183-192, 1989.
6. M. Guay and T. Zhang. Adaptive extremum seeking control of nonlinear systems with parametric uncertainties. Proc. IFAC World Congress, Barcelona, pages 475-481, 2002.
7. E. B. Kosmatopoulos, M. M. Polycarpou, M. A. Christodoulou, and P. A. Ioannou. High-order neural network structures for identification of dynamical systems. IEEE Trans. Neural Networks, 6(2):422-431, 1995.
8. M. Krstic. Performance improvement and limitations in extremum seeking control. Systems & Control Letters, 5:313-326, 2000.
9. M. Krstic and H. Deng. Stabilization of Nonlinear Uncertain Systems. Springer-Verlag, 1998.
10. M. Leblanc. Sur 1'électrification des chemins de fer au moyen de courants alternatifs de fréquence élevée. Revue Générale de l'Electricité, 1922.
11. R. M. Sanner and J. E. Slotine. Gaussian networks for direct adaptive control. IEEE Trans. Neural Networks, 3(6):837-863, 1992.
12. S. Seshagiri and H. K. Khalil. Output feedback control of nonlinear system using rbf neural networks. IEEE Trans. Neural Net., 11:69-79, 2000.
13. J. Sternby. Extremum control systems: An area for adaptive control? Preprints of the Joint American Control Conference, San Francisco, CA, 1980.