Abstract
The objective of this paper is to propose a generalized approach to state-feedback stabilization of interconnected fuzzy systems. The proposed algorithms, which are formulated within the convex optimization framework, provide decentralized solutions to the problem of asymptotic stability with strict dissipativity. It is established that the new methodology can reproduce earlier results on passivity, positive realness, and disturbance attenuation. Numerical examples are presented to illustrate the applicability of the design method.
| Original language | English |
|---|---|
| Pages (from-to) | 773-783 |
| Number of pages | 11 |
| Journal | International Journal of Fuzzy Systems |
| Volume | 18 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 Oct 2016 |
Bibliographical note
Publisher Copyright:© 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg.
Keywords
- Asymptotic stability
- Interconnected systems
- LMIs
- Local state-feedback
- Strict dissipativity
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Computational Theory and Mathematics
- Artificial Intelligence