Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865408 | Neurocomputing | 2016 | 21 Pages |
Abstract
In this paper, the problem of non-fragile fuzzy dissipative static output feedback control for Markovian jump systems subject to actuator saturation is considered. Based on Lyapunov theory and reciprocally convex combination lemma, sufficient conditions are obtained to ensure the closed-loop system to be stochastically stable and dissipative. Then, the non-fragile fuzzy static output feedback controller can be obtained by solving the LMIs. And the estimation of the largest domain of attraction for the system is solved as a LMI optimization problem. Finally, some numerical examples are provided to show the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wei Guan, Fucai Liu,