Event-triggered sliding mode control for switched genetic regulatory networks with persistent dwell time

被引：49

作者：

Yu, Tingting ^{[1
]}

Zhao, Yue ^{[2
]}

Wang, Jiahui ^{[3
]}

Liu, Jianxing ^{[2
]}

机构：

[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Peoples R China

[2] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China

[3] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China

来源：

NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2022年 / 44卷

基金：

中国国家自然科学基金;

关键词：

Event-triggered scheme; Switched genetic regulatory networks; Persistent dwell time switching; Sliding mode control; STOCHASTIC STABILITY ANALYSIS; STATE ESTIMATION; SYSTEMS; DISCRETE;

D O I：

10.1016/j.nahs.2021.101135

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 focus on the event-triggered sliding mode controller design for discrete-time switched genetic regulatory networks (GRNs) with persistent dwell time (PDT) switching. Firstly, the observation error dynamics of switched GRNs with PDT is constructed in the light of event-triggered sliding mode control (SMC) scheme. Next, sufficient conditions are derived to ensure the exponential stability of the augmented plant. Moreover, an event-triggered SMC law is synthesized to impel the system trajectories onto the sliding surface in a finite time. Finally, a verification example is provided to illustrate the effectiveness and potential of the proposed method.(C) 2021 Elsevier Ltd. All rights reserved.

引用

页数：17

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