Adaptive event-triggered control of a class of nonlinear networked systems

被引：101
|
作者：
Gu, Zhou [1 ]
Tian, Engang [2 ]
Liu, Jinliang [3 ]
机构：
[1] Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing 210037, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Inst Informat & Control Engn Technol, Nanjing 210042, Jiangsu, Peoples R China
[3] Nanjing Univ Finance & Econ, Dept Appl Math, Nanjing 210023, Jiangsu, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 09期
基金：
中国国家自然科学基金;
关键词：
S FUZZY-MODEL; INFINITY-FILTER DESIGN; OUTPUT-FEEDBACK; TIME-DELAY; UNCERTAINTIES;
D O I：
10.1016/j.jfranklin.2017.02.026
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 investigates an adaptive event-triggered communication scheme (AETCS) for a class of networked Takagi Sugeno (T-S) fuzzy control systems. The threshold of event-triggering condition has great influence on the maximum allowable number of successive packet losses. Different from the conventional method, the threshold, in this study, is dependent on a novel adaptive law which can be achieved on-line rather than a predefined constant, since the threshold with fixed value is hard to suit the variation of the system. The stability and stabilization criteria are derived by using a new Lyapunov function. Finally, an example is provided to demonstrate the design method. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：3854 / 3871
页数：18
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