Sampled-Data Observer-Based Decentralized Fuzzy Control for Nonlinear Large-Scale Systems

被引：2
|
作者：
Koo, Geun Bum [1 ]
Park, Jin Bae [1 ]
Joo, Young Hoon [2 ]
机构：
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea
[2] Kunsan Natl Univ, Dept Control & Robot Engn, Gunsan, South Korea
来源：
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2016年 / 11卷 / 03期
基金：
新加坡国家研究基金会;
关键词：
Sampled-data observer-based decentralized fuzzy control; Nonlinear large-scale systems; Takagi-Sugeno fuzzy system; Exact discretized model; Linear matrix inequality; INTELLIGENT DIGITAL REDESIGN; OUTPUT-FEEDBACK CONTROL; ROBUST STABILIZATION; DESIGN;
D O I：
10.5370/JEET.2016.11.3.724
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is, converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.
引用
收藏
页码：724 / 732
页数：9
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