Stability Analysis of Nonlinear Networked Control System with Integral Quadratic Constraints Performance in Takagi-Sugeno Fuzzy Model

被引：2

作者：

PENG Gaofeng ^{[1
]}

LIU Hongping ^{[1
]}

LENG Yang ^{[1
]}

WANG Yong ^{[1
]}

ZHAO Na ^{[1
]}

机构：

[1] College of Information Science and Engineering, Changsha Normal University

来源：

WuhanUniversityJournalofNaturalSciences | 2019年 / 24卷 / 05期

基金：

中国国家自然科学基金;

关键词：

H_∞ output tracking control; nonlinear networked control systems; Takagi-Sugeno fuzzy model; LyapunovKrasovskii method;

D O I：

暂无

中图分类号：

TP13 [自动控制理论];

学科分类号：

0711 ; 071102 ; 0811 ; 081101 ; 081103 ;

摘要：

This paper focuses on the stability analysis of nonlinear networked control system with integral quadratic constraints(IQC) performance, dynamic quantization, variable sampling intervals, and communication delays. By using input-delay and parallel distributed compensation(PDC) techniques, we establish the Takagi-Sugeno(T-S) fuzzy model for the system, in which the sampling period of the sampler and signal transmission delay are transformed to the refreshing interval of a zero-order holder(ZOH). By the appropriate Lyapunov-Krasovskii-based methods, a delay-dependent criterion is derived to ensure the asymptotic stability for the system with IQC performance via the H_∞ state feedback control. The efficiency of the method is illustrated on a simulation exampler.

引用

页码：435 / 441

页数：7

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