{"title":"通过混合延迟脉冲实现时延动态网络的同步化","authors":"Huannan Zheng , Wei Zhu , Xiaodi Li","doi":"10.1016/j.neunet.2024.106835","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the synchronization problem of time-delay dynamical networks by means of hybrid delayed impulses, where synchronizing impulses and desynchronizing impulses can occur simultaneously. Some sufficient synchronization conditions are established based on Razumikhin-type inequality and Lyapunov function. These conditions do not place any limitation on the magnitude of time-delay in dynamical networks. To be specific, it can be less than or greater than the length of impulses intervals and has no magnitude relationship with delays in impulses. Moreover, results indicate that delays in impulses have positive contributions to synchronization. The effectiveness of the theoretical results is demonstrated by two numerical examples.</div></div>","PeriodicalId":49763,"journal":{"name":"Neural Networks","volume":"181 ","pages":"Article 106835"},"PeriodicalIF":6.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synchronization of time-delay dynamical networks via hybrid delayed impulses\",\"authors\":\"Huannan Zheng , Wei Zhu , Xiaodi Li\",\"doi\":\"10.1016/j.neunet.2024.106835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper investigates the synchronization problem of time-delay dynamical networks by means of hybrid delayed impulses, where synchronizing impulses and desynchronizing impulses can occur simultaneously. Some sufficient synchronization conditions are established based on Razumikhin-type inequality and Lyapunov function. These conditions do not place any limitation on the magnitude of time-delay in dynamical networks. To be specific, it can be less than or greater than the length of impulses intervals and has no magnitude relationship with delays in impulses. Moreover, results indicate that delays in impulses have positive contributions to synchronization. The effectiveness of the theoretical results is demonstrated by two numerical examples.</div></div>\",\"PeriodicalId\":49763,\"journal\":{\"name\":\"Neural Networks\",\"volume\":\"181 \",\"pages\":\"Article 106835\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0893608024007597\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0893608024007597","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Synchronization of time-delay dynamical networks via hybrid delayed impulses
This paper investigates the synchronization problem of time-delay dynamical networks by means of hybrid delayed impulses, where synchronizing impulses and desynchronizing impulses can occur simultaneously. Some sufficient synchronization conditions are established based on Razumikhin-type inequality and Lyapunov function. These conditions do not place any limitation on the magnitude of time-delay in dynamical networks. To be specific, it can be less than or greater than the length of impulses intervals and has no magnitude relationship with delays in impulses. Moreover, results indicate that delays in impulses have positive contributions to synchronization. The effectiveness of the theoretical results is demonstrated by two numerical examples.
期刊介绍:
Neural Networks is a platform that aims to foster an international community of scholars and practitioners interested in neural networks, deep learning, and other approaches to artificial intelligence and machine learning. Our journal invites submissions covering various aspects of neural networks research, from computational neuroscience and cognitive modeling to mathematical analyses and engineering applications. By providing a forum for interdisciplinary discussions between biology and technology, we aim to encourage the development of biologically-inspired artificial intelligence.