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：
Wuhan University Journal of Natural Sciences | 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：
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
收藏
页码：435 / 441
页数：7
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