Output stabilization of Takagi–Sugeno fuzzy systems
✍ Scribed by Jun Yoneyama; Masahiro Nishikawa; Hitoshi Katayama; Akira Ichikawa
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 128 KB
- Volume
- 111
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper the output stabilization problem of Takagi-Sugeno fuzzy models is considered. First a natural form of observers for such models is given. Su cient conditions for their asymptotic convergence are given which are dual to those for the stability of state feedback fuzzy controllers. We then show that a state feedback controller and an observer always yield a stabilizing output feedback controller provided that the stabilizing property of the control and the asymptotic convergence of the observer are guaranteed by the Lyapunov method using positive deÿnite matrices. In this sense it is shown that the separation principle holds for Takagi-Sugeno fuzzy systems. Two design examples are given to illustrate the theory.
📜 SIMILAR VOLUMES
The nonlinear dynamic Takagi-Sugeno fuzzy model with offset terms is analyzed as a perturbed linear system. A sufficient criterion for the robust stability of this nominal system against nonlinear perturbations guarantees quadratic stability of the fuzzy model. The criterion accepts a convex program
non-PDC) Linear matrix inequality (LMI) Stabilization a b s t r a c t This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time Takagi-Sugeno (T-S) fuzzy systems. To do this, more general classes of non-p
are incorrect.