Event-triggered passive control for Markovian jump discrete-time systems with incomplete transition probability and unreliable channels

被引:21
|
作者
Shan, Yaonan [1 ]
She, Kun [1 ]
Zhong, Shouming [2 ]
Cheng, Jun [3 ,4 ]
Wang, Wenyong [5 ]
Zhao, Can [2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[3] Guangxi Normal Univ, Coll Math & Stat, Guilin 541006, Peoples R China
[4] Qingdao Univ Sci & Technol, Coll Automat & Electmn Engn, Qingdao 266061, Shandong, Peoples R China
[5] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
MEMRISTIVE NEURAL-NETWORKS; INFINITY FILTER DESIGN; DELAY SYSTEMS; EXPONENTIAL STABILITY; SAMPLING CONTROL; MODEL; STABILIZATION;
D O I
10.1016/j.jfranklin.2019.07.002
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 passivity of Markovian jump discrete-time systems (MJDTSs) with channel fading via event-triggered state feedback control. First, the concerned MJDTSs contain infinitely distributed delays and switching rules with partially known transition probability (TP) information. Next, the fading channel, as an unreliable channel, is introduced into MJDTSs to better reflect the engineering practice in networked environment. Due to the present of channel fading, a series of random variables satisfying some certain probability density functions (PDFs) will be obstacles in the process of proof. Then, an event-triggered controller is designed for MJDTSs with channel fading and incomplete transition probability (ITP) for the first time. Thanks to this event-triggered mechanism, the state feedback control could greatly reduce energy consumption during transmission. Subsequently, under the above controller, we obtain some novel sufficient criteria in the form of linear matrix inequalities (LMIs) to ensure the passivity of closed-loop system. Finally, some simulation results are provided to demonstrate the feasibility and effectiveness of the proposed theoretical method. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:8093 / 8117
页数:25
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