Lyapunov-Based Approach to Sampled-Data Set Stabilization of Constrained Boolean Control Networks

被引：0

作者：

Gu Linguo ^{[1
]}

Kong Xiangshan ^{[2
]}

Li Haitao ^{[2
]}

机构：

[1] Weifang Engn Vocat Coll, Qingzhou 262500, Peoples R China

[2] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China

来源：

2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年

基金：

中国国家自然科学基金;

关键词：

Boolean control networks; Sampled-data control; Set stabilization; Lyapunov function; Algebraic state space representation; FEEDBACK STABILIZATION; CONTROL DESIGN; STATE; SYSTEMS; CONTROLLABILITY; STABILITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Lyapunov functions for sampled-data set stabilization of constrained Boolean control networks (BCNs) are investigated in this paper. The main mathematical tool is semi-tensor product of matrices, which is used to convert the dynamics of constrained BCNs under nonuniform sampled-data control (SDC) into a switched Boolean network (BN). Using the techniques of Lyapunov function and average dwell time, several sufficient conditions are proposed for the global set stability of switched BN. The obtained results are applied to the Battle of Sex with 2-memory.

引用

页码：1635 / 1640

页数：6

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