{"title":"通过非光滑硬阈值耦合实现异构网络的稳健输出收敛","authors":"Félix A. Miranda-Villatoro","doi":"10.1016/j.nahs.2023.101459","DOIUrl":null,"url":null,"abstract":"<div><p>We study a set-valued maximal monotone<span><span> coupling law achieving robust output convergence in heterogeneous networks of </span>dynamical systems<span> with uncertainties and persistent disturbances. The coupling consists of an adaptable strategy built from normal cones to convex time-dependent sets (hard-threshold maps). To guarantee the convergence of the output mismatches to a neighborhood of the origin, only connectivity of the intrinsic graph is required (knowledge of the graph algebraic connectivity is not required), whereas only the output of the associated systems is used. Numerical simulations illustrate the effectiveness of the proposed coupling scheme.</span></span></p></div>","PeriodicalId":49011,"journal":{"name":"Nonlinear Analysis-Hybrid Systems","volume":"52 ","pages":"Article 101459"},"PeriodicalIF":3.7000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust output convergence of heterogeneous networks via nonsmooth hard-threshold couplings\",\"authors\":\"Félix A. Miranda-Villatoro\",\"doi\":\"10.1016/j.nahs.2023.101459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We study a set-valued maximal monotone<span><span> coupling law achieving robust output convergence in heterogeneous networks of </span>dynamical systems<span> with uncertainties and persistent disturbances. The coupling consists of an adaptable strategy built from normal cones to convex time-dependent sets (hard-threshold maps). To guarantee the convergence of the output mismatches to a neighborhood of the origin, only connectivity of the intrinsic graph is required (knowledge of the graph algebraic connectivity is not required), whereas only the output of the associated systems is used. Numerical simulations illustrate the effectiveness of the proposed coupling scheme.</span></span></p></div>\",\"PeriodicalId\":49011,\"journal\":{\"name\":\"Nonlinear Analysis-Hybrid Systems\",\"volume\":\"52 \",\"pages\":\"Article 101459\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-12-18\",\"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/S1751570X23001309\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Analysis-Hybrid Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751570X23001309","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}
Robust output convergence of heterogeneous networks via nonsmooth hard-threshold couplings
We study a set-valued maximal monotone coupling law achieving robust output convergence in heterogeneous networks of dynamical systems with uncertainties and persistent disturbances. The coupling consists of an adaptable strategy built from normal cones to convex time-dependent sets (hard-threshold maps). To guarantee the convergence of the output mismatches to a neighborhood of the origin, only connectivity of the intrinsic graph is required (knowledge of the graph algebraic connectivity is not required), whereas only the output of the associated systems is used. Numerical simulations illustrate the effectiveness of the proposed coupling scheme.
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.