Sampled-data control for nonlinear singular systems based on a Takagi-Sugeno fuzzy model

被引：16
作者：
Zheng Minjie [1 ,2 ]
Zhou Yujie [1 ]
Yang Shenhua [2 ]
Li Lina [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[2] Jimei Univ, Nav Coll, Xiamen, Peoples R China
来源：
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2018年 / 40卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Singular system; sampled-data control; Lyapunov-Krasovskii functional; Takagi-Sugeno fuzzy model; admissible condition; INPUT-DELAY APPROACH; H-INFINITY CONTROL; DATA STABILIZATION; ROBOT MANIPULATOR; TRACKING CONTROL; CHAOTIC SYSTEMS; DESIGN; STABILITY; NETWORKS;
D O I：
10.1177/0142331217740420
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The sampled-data admissibility problem for nonlinear singular systems in Takagi-Sugeno fuzzy models is discussed. By adding some novel terms, a novel fuzzy time-dependent Lyapunov-Krasovskii functional is proposed to fully capture the available characteristics of the actual sampling pattern. Sufficient conditions are derived to determine the regularity, absence of impulses and asymptotic stability of the system by using Lyapunov stability theorems. Then, the fuzzy sampled-data controller is obtained by analysing the admissible condition. One practical example involving a truck-trailer system is considered. It is shown that the proposed method and the designed controller for the system are effective and that less conservativeness can be obtained.
引用
收藏
页码：4027 / 4036
页数：10
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