Event-triggered stabilisation for stochastic delayed differential systems with exogenous disturbances

被引:3
|
作者
Zhang, Zhongyu [1 ]
Liu, Linna [1 ]
Fang, Jianyin [1 ]
Qu, Boyang [1 ]
机构
[1] Zhongyuan Univ Technol, Sch Elect & Informat Engn, Zhengzhou 450007, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 02期
基金
中国国家自然科学基金;
关键词
TO-STATE STABILITY; RECURRENT NEURAL-NETWORKS; NONLINEAR-SYSTEMS;
D O I
10.1016/j.jfranklin.2022.11.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the practically input-to-state stabilization issue is considered for the stochastic delayed differential systems (SDDSs) with exogenous disturbances. To reduce the transmission frequency of the feedback control signal, the proposed SDDSs are stabilized by an event-triggered strategy. The concept of the practically input-to-state stability (ISS) is used to describe the dynamic performance of control target in the event-triggered schemes and exogenous disturbances. Besides, the considered SDDSs is stabilized by an event-triggered feedback controller which is represented by linear matrix inequalities. Moreover, lower bound of the interaction time of the event-triggered control method is obtained to avoid the Zeno behavior of the proposed event-triggering scheme. Finally, the effectiveness of the conclusion is verified by a numerical example.(c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1395 / 1414
页数:20
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