Finite-time quantized guaranteed cost fuzzy control for continuous-time nonlinear systems

被引：32
作者：
Yang, Dedong [1 ]
Cai, Kai-Yuan [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Natl Key Lab Sci & Technol Holist Control, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 10期
基金：
美国国家科学基金会;
关键词：
Finite-time stability (FTS); Quantized control; Fuzzy control; Linear matrix inequality (LMI); LINEAR-SYSTEMS; LIMITED INFORMATION; VARYING DELAY; STABILIZATION; FEEDBACK; STABILITY; DESIGN;
D O I：
10.1016/j.eswa.2010.03.024
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper considers the problem of finite-time quantized guaranteed cost fuzzy control for continuous-time nonlinear systems. Firstly, the definition on finite-time stability (FTS) for continuous-time nonlinear systems is provided and we give a novel and explicit interpretation for finite-time quantized guaranteed cost control. Secondly, sufficient conditions for the existence of state feedback controller are derived in terms of linear matrix inequities (LMIs), which guarantee the requirements of the provided performance criterion. The related optimization problem is also offered to minimize the guaranteed cost performance bound. Finally, an illustrative example is presented to show the validity of the proposed scheme. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：6963 / 6967
页数：5
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