Event-based control for networked T-S fuzzy cascade control systems with quantization and cyber attacks

被引：27

作者：

Liu, Jinliang ^{[1
,2
]}

Wang, Yuda ^{[1
]}

Zha, Lijuan ^{[1
]}

Yan, Huaicheng ^{[3
]}

机构：

[1] Nanjing Univ Finance & Econ, Coll Informat Engn, Nanjing 210023, Jiangsu, Peoples R China

[2] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Shandong, Peoples R China

[3] East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 16期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

H-INFINITY CONTROL; TRIGGERED CONTROL; STOCHASTIC NONLINEARITIES; STABILITY ANALYSIS; STABILIZATION; DESIGN; SUBJECT; DELAY;

D O I：

10.1016/j.jfranklin.2019.09.006

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 the event-based control for networked T-S fuzzy cascade control systems with quantization and cyber attacks. In order to solve the problem of limited communication resources, an event-triggered scheme and a quantization mechanism are adopted, which can effectively reduce the burden of communication and save the network resources of the system. By considering the influence of cyber attacks, a newly quantized T-S fuzzy model for networked cascade control systems (NCCSs) under the event-triggered scheme is established. By using the Lyapunov stability theory, sufficient conditions guaranteeing the asymptotical stability of networked T-S fuzzy cascade control systems are obtained. In addition, the controller gains are derived by solving a set of linear matrix inequalities. Finally, a numerical example is presented to verify the validity of the proposed method. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：9451 / 9473

页数：23

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