Event-triggered output feedback control for discrete Markov jump systems under deception attack

被引:35
作者
Gao, Jinfeng [1 ]
Zhao, Zhen [1 ]
Wang, Jinxia [1 ]
Tan, Tian [1 ]
Ma, Miao [1 ]
机构
[1] Zhejiang Sci Tech Univ, Fac Mech Engn & Automat, Hangzhou 310018, Zhejiang, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 11期
基金
中国国家自然科学基金;
关键词
H-INFINITY CONTROL; NETWORKED CONTROL-SYSTEMS; CYBER-PHYSICAL SYSTEMS;
D O I
10.1016/j.jfranklin.2020.02.037
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An event-triggered dynamic output feedback control (DOFC) problem for discrete Markov jump systems is considered, where both measurement and control channel are under the deception attacks. To reduce the data traffic in the channel and the control actions against attack, two event-triggered schemes (ETSs) are implemented on sensor and controller node asynchronously. And two quantizers are installed independently. Sufficient criterions for ensuring asymptotic stability of the networked control systems (NCSs) are obtained by deriving the Lyapunov functional, and the co-design of DOFC with ETSs can be acquired in terms of the linear matrix inequality (LMI). An application on DC motor is utilized to prove the feasibility of this method. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:6435 / 6452
页数:18
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