Abstract
In this paper, the decentralized guaranteed cost control problem of uncertain fuzzy large-scale systems with time-varying delays is investigated. The uncertain fuzzy large-scale systems consist of J interconnected subsystems, which are represented by Takagi-Sugeno (T-S) fuzzy models. Based on Lyapunov-Krasovskii functional theory and the linear matrix inequality optimization technique, decentralized control is proposed to guarantee asymptotic stability for uncertain fuzzy large-scale systems and minimize the guaranteed cost. Furthermore, the prerequisite that the time-derivative of time-varying delay must be smaller than one is unnecessary in this study. An illustrative example is provided to demonstrate the effectiveness of the results developed in this paper.
| Original language | English |
|---|---|
| Pages (from-to) | 213-223 |
| Number of pages | 11 |
| Journal | Engineering Intelligent Systems |
| Volume | 14 |
| Issue number | 4 |
| Publication status | Published - 2006 Dec |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering