| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 722742 | IFAC Proceedings Volumes | 2007 | 6 Pages |
Abstract
This paper presents the stability and performance design of fuzzy-model-based control systems subject to parameter uncertainties. A nonlinear controller with a favorable characteristic to relax the stability conditions is proposed to drive the system states of the nonlinear plant to follow those of a stable reference model. Stability and performance conditions in terms of bilinear matrix inequalities are derived based on a Lyapunov-based approach. A genetic-based convex programming technique process is developed to solve the solution to the bilinear matrix inequalities. An application example is given to show the merits of the proposed approach.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
