Stable fuzzy adaptive control for a class of nonlinear systems
โ Scribed by Yuezhong Tang; Naiyao Zhang; Yanda Li
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 509 KB
- Volume
- 104
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper, two adaptive fuzzy control schemes for a class of nonlinear systems are proposed. Each scheme employs a fuzzy control with an adaptive law, and a compensation control. It is proved that the closed-loop system is asymptotically stable based on Lyapunov synthesis approach while the identification of the controlled plant is unnecessary. Finally, these schemes are applied to control a chaotic system. The simulation results show that our schemes are superior to the scheme of .
๐ SIMILAR VOLUMES
This paper presents an adaptive iterative learning control scheme that is applicable to a class of nonlinear systems. The control scheme guarantees system stability and boundedness by using the feedback controller coupled with the fuzzy compensator and achieves precise tracking by using the iterativ
A kind of stable adaptive fuzzy control of a nonlinear system is implemented based on the variable universe method proposed first in [1]. First of all, the basic structure of variable universe adaptive fuzzy controllers is briefly introduced. Then the contraction-expansion factor which is a key tool
A decentralized adaptive fuzzy control scheme for a class of large-scale nonlinear systems is proposed in this paper. The design is based on the principle of sliding mode control and the approximation capability of fuzzy systems. The control architecture employs decentralized fuzzy systems to adapti