Hankang Ji , Yuanyuan Li , Xueying Ding , Jianquan Lu
{"title":"Necessary and sufficient conditions for asymptotic synchronization of drive-response coupled stochastic Boolean networks","authors":"Hankang Ji , Yuanyuan Li , Xueying Ding , Jianquan Lu","doi":"10.1016/j.nahs.2025.101595","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the asymptotic synchronization of drive-response stochastic Boolean networks. We propose two coupled Boolean networks with stochastic sequences and then derive their algebraic forms using semi-tensor product property. Subsequently, a novel eigenvalue-based approach is introduced to establish necessary and sufficient conditions for the asymptotic synchronization of these networks. While prior synchronization results were typically derived from the powers of the transition probability matrix, our method requires only the eigenvalues of this matrix. Finally, several examples are provided to validate the results obtained.</div></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"57 ","pages":"Article 101595"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Analysis-Hybrid Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751570X25000214","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper studies the asymptotic synchronization of drive-response stochastic Boolean networks. We propose two coupled Boolean networks with stochastic sequences and then derive their algebraic forms using semi-tensor product property. Subsequently, a novel eigenvalue-based approach is introduced to establish necessary and sufficient conditions for the asymptotic synchronization of these networks. While prior synchronization results were typically derived from the powers of the transition probability matrix, our method requires only the eigenvalues of this matrix. Finally, several examples are provided to validate the results obtained.
期刊介绍:
Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.