Improvement on Fuzzy-Model-Based Stability Criteria of Nonlinear Networked Control Systems

被引：0
作者：
Chen, Haobin [1 ]
Tang, Bin [1 ]
Huang, Jianan [1 ]
Zhang, Yun [1 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2014年
关键词：
TIME-VARYING DELAY; ROBUST STABILITY; INPUT DELAY; DESIGN; STABILIZATION; UNCERTAINTIES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with an improvement on fuzzy-model-based stability criteria of nonlinear networked control systems (NCSs) with time-varying transmission delays and transmission intervals. The real-time distribution of input delays is taken into account and modeled as a dependent and nonidentically distributed process, which leads to a randomly switched Takagi-Sugeno (T-S) fuzzy model with multiple input-delay subsystems for the nonlinear NCSs. Based on an improveed Lyapunov-Krasovskii method, which appropriately exploits the real-time distribution of input delays in estimating crossproduct integral terms and the characteristics of T-S fuzzy model, new sufficient conditions are derived for the deterministic asymptotical stability of the overall systems. Numerical examples are presented to substantiate the effectiveness and advantage of our results.
引用
收藏
页码：695 / 700
页数：6
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