A stabilization algorithm for discrete-time fuzzy control systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 281-293 |
| Journal / Publication | Journal of Intelligent and Fuzzy Systems |
| Volume | 4 |
| Issue number | 4 |
| Publication status | Published - 1996 |
| Externally published | Yes |
Link(s)
Abstract
This article presents a design method for discrete-time fuzzy control systems. The method is based on a discrete-time Takagi-Sugeno fuzzy state space model. A suitable quadratic Lyapunov function is used to establish asymptotic stability of the closed loop system. A necessary and sufficient condition for stabilization of a discrete-time fuzzy control system is given. Furthermore, a constructive algorithm is developed to obtain the stabilizing feedback control law. The stabilization algorithm involves solving a certain discrete-time algebraic Riccati equation. Two examples are given to illustrate the application of the method. © 1996 John Wiley and Sons, Inc.
Citation Format(s)
A stabilization algorithm for discrete-time fuzzy control systems. / Cao, S. G.; Rees, N. W.; Feng, G.
In: Journal of Intelligent and Fuzzy Systems, Vol. 4, No. 4, 1996, p. 281-293.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
