H∞Control of nonlinear discrete-time systems based on dynamical fuzzy models

International Journal of Systems Science

Volumn 31, Issue 2, 2000, Pages 229-241

  Cao, S G ^a   Rees, N W ^a   Feng, G ^a   Liu, W ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; CLOSED LOOP CONTROL SYSTEMS; CONTROL EQUIPMENT; DISCRETE TIME CONTROL SYSTEMS; FEEDBACK CONTROL; FUZZY CONTROL; RICCATI EQUATIONS;

DYNAMICAL FUZZY MODELS;

NONLINEAR CONTROL SYSTEMS;

EID: 0034143125     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/002077200291343     Document Type: Article

References (18)

1. Cao, S. G., and Feng, G., 1995, Modelling of complex control systems. Proceedings of the IFAC NOLOCOS ’95, Pergamon Press. Davis, California, USA, pp. 935-938.
2. Cao, S. G., and Rees, N. W., 1995, Identification of dynamic fuzzy models. Fuzzy Sets and Systems, 75, 307-320.
3. Cao, S. G., Rees, N. W., and Feng, G., 1995, Analysis and design of fuzzy control systems using dynamic fuzzy global models. Fuzzy Sets and Systems, 75, 47-62
4. Cao, S. G., Rees, N. W., and Feng, G., 1996 a, Quadratic stability analysis and design of continuous time fuzzy control systems. International Journal of Systems Science, 27, 193-203
5. Cao, S. G., Rees, N. W., and Feng, G., 1996b, Analysis and design for a class of continuous time fuzzy control systems. International Journal of Control, 64, 1069-1089
6. Cao, S. G., Rees, N. W., and Feng, G., 1997a, Analysis and design for a class of complex control systems, Part I: fuzzy modeling and identification. Automatica, 33, 1017-1028
7. Cao, S. G., Rees, N. W., and Feng, G., 1997b, Analysis and design for a class of complex control systems, Part II: fuzzy controller design. Automatica, 33, 1029-1039.
8. Feng, G., Cao, S. G., and Rees, N. W., 1996, An approach to Hin® nity control of a class of nonlinear systems. Automatica, 32, 1469-1474.
9. Feng, G., Cao, S. G., Rees, N. W., and Chak, C. K., 1995, Design of fuzzy control systems based on state feedback. Journal of Intelligent and Fuzzy Systems, 295- 304
10. Feng, G., Cao, S. G., Rees, N. W., and Chak, C. K., 1997, Design of fuzzy control systems with guaranteed stability. Fuzzy Sets and Systems, 85, 1-10.
11. Garcia, G., Bernussou, J., and Arzelier, D., 1994, Robust stabilization of discrete-time linear systems with norm-bounded time-varying uncertainty. System and Control Letters, 22, 327-339.
12. Guillard, H., Monaco, S., and Normand-Cyrot, D., 1993, An approach to nonlinear discrete-time H control. Proceedings of the 32nd IEEE Conference on Decision and Control, San Antonio, Texas, USA (New York: IEEE), pp. 178-183.
13. Isidori, A., and Astolei, A., 1992, Disturbance attenuation and H„ control via measurement feedback in nonlinear systems. IEEE Transactions on Automatic Control, 37, 1283-1293.
14. rl control with measurement feedback. Automatica, 31, 419-433.
15. Petersen, I. R., 1987, A stabilization algorithm for a class of uncertain linear systems. Systems and Control Letters, 8, 351-357.
16. Tanaka, K., and Sano, M., 1994, A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer. IEEE Transactions on Fuzzy Systems, 2, 119-134.
17. 2-gain analysis of nonlinear systems and nonlinear state feedback H control. IEEE Transactions on Automatic Control, 37, 770-783.
18. Sroorvogel, A. A., and Weeren, A. J. T. M., 1994, The discrete-time Riccati equation related to the H control problem. IEEE Transactions on Automatic Control, 39, 686-691.