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Modeling and Stability Analysis for Markov Jump Networked Evolutionary Games

被引：0
|
作者：
Zhao, Guodong [1 ]
机构：
[1] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Shandong, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2018年 / 2018卷
基金：
中国国家自然科学基金;
关键词：
NONLINEAR DIFFERENTIAL-SYSTEMS; SWITCHED BOOLEAN NETWORKS; TO-STATE STABILITY; OUTPUT TRACKING; NEURAL-NETWORKS; CONTROL DESIGN; FEEDBACK STABILIZATION; STRATEGY OPTIMIZATION; DELAY; SYNCHRONIZATION;
D O I：
10.1155/2018/5124343
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper investigates the algebraic formulation and stability analysis for a class of Markov jump networked evolutionary games by using the semitensor product method and presents a number of new results. Firstly, a proper algorithm is constructed to convert the given networked evolutionary games into an algebraic expression. Secondly, based on the algebraic expression, the stability of the given game is analyzed and an equivalent criterion is given. Finally, an example works out to support the new results.
引用
收藏
页数：9
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