This paper analyzes the stability and robustness of uncertain nonlinear systems and shows that the analysis results provide an e cient technique for the design of fuzzy controllers. Based on a fuzzy plant model describing an uncertain nonlinear plant, this design involves the derivation of a stabili
Design of the constrained controllers for uncertain nonlinear systems using the Lyapunov stability theory
โ Scribed by Sergey Edward Lyshevski
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 260 KB
- Volume
- 336
- Category
- Article
- ISSN
- 0016-0032
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โฆ Synopsis
This paper studies uncertain nonlinear systems when control inputs are subject to upper bounds on magnitude. The robust tracking control problem is approached and solved. In particular, an innovative design framework is developed, and the existing results are extended to synthesize the robust tracking controllers. Nonquadratic Lyapunov functions are used to perform stability analysis, and innovative integral tracking controllers with nonlinear error and state feedback maps are synthesized. Another contribution of this paper is the application of the theoretical results. The implementation of the method proposed to design robust control laws for servomechanisms with induction motors is presented to illustrate the theoretical feasibility, versatility, and practical e!ectiveness of the procedure. The controller designed is implemented, and experimental results are documented to validate the control algorithm and to study the servo-system performance.
๐ SIMILAR VOLUMES
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