Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control

被引：11
|
作者：
Wang, Jinling [1 ]
Jiang, Haijun [2 ]
Hu, Cheng [2 ]
Ma, Tianlong [3 ]
机构：
[1] Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
[2] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
[3] Qinghai Univ, Dept Basic, Xining 810016, Peoples R China
来源：
NEURAL NETWORKS | 2021年 / 143卷
关键词：
Discrete-time switched neural networks; Sliding mode control; Event-triggered mechanism; Exponential passivity; H-INFINITY CONTROL; SYSTEMS; SYNCHRONIZATION;
D O I：
10.1016/j.neunet.2021.06.014
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the exponential passivity of discrete-time switched neural networks (DSNNs) with transmission delays via an event-triggered sliding mode control (SMC). Firstly, a novel discrete-time switched SMC scheme is constructed on the basis of sliding mode control method and event-triggered mechanism. Next, a state observer with transmission delays is designed to estimate the system state. Moreover, some new weighted summation inequalities are further proposed to effectively evaluate the exponential passivity criteria for the closed-loop system. Finally, the effectiveness of theoretical results is showed through a simulative analysis on a multi-area power system. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码：271 / 282
页数：12
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