{"title":"通过非周期性间歇控制实现复杂网络的固定时间事件触发引脚同步","authors":"Junru Zhang, Jian-An Wang, Jie Zhang, Mingjie Li, Zhicheng Zhao, Xinyu Wen","doi":"10.1016/j.neucom.2024.128818","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the fixed-time event-triggered pinning synchronization problem for complex network using aperiodic intermittent control. A novel fixed-time stability lemma with aperiodic intermittent characteristic is first proposed. By designing appropriate event-triggered aperiodic intermittent pinning controller (ETAIPC) based on the average control rate, several conditions are derived to ensure the fixed-time synchronization. The upper bound of setting-time is independent of any initial values and only concerns with design parameters, network size and node dimension. A simple to execute selection algorithm is adopted to renew the pinning node set. The Zeno behavior is also excluded through a rigorous theoretical analysis. Simulation examples are employed to demonstrate the efficacy of the obtained method.</div></div>","PeriodicalId":19268,"journal":{"name":"Neurocomputing","volume":"614 ","pages":"Article 128818"},"PeriodicalIF":5.5000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fixed-time event-triggered pinning synchronization of complex network via aperiodically intermittent control\",\"authors\":\"Junru Zhang, Jian-An Wang, Jie Zhang, Mingjie Li, Zhicheng Zhao, Xinyu Wen\",\"doi\":\"10.1016/j.neucom.2024.128818\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper studies the fixed-time event-triggered pinning synchronization problem for complex network using aperiodic intermittent control. A novel fixed-time stability lemma with aperiodic intermittent characteristic is first proposed. By designing appropriate event-triggered aperiodic intermittent pinning controller (ETAIPC) based on the average control rate, several conditions are derived to ensure the fixed-time synchronization. The upper bound of setting-time is independent of any initial values and only concerns with design parameters, network size and node dimension. A simple to execute selection algorithm is adopted to renew the pinning node set. The Zeno behavior is also excluded through a rigorous theoretical analysis. Simulation examples are employed to demonstrate the efficacy of the obtained method.</div></div>\",\"PeriodicalId\":19268,\"journal\":{\"name\":\"Neurocomputing\",\"volume\":\"614 \",\"pages\":\"Article 128818\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurocomputing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0925231224015893\",\"RegionNum\":2,\"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":"Neurocomputing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925231224015893","RegionNum":2,"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}
Fixed-time event-triggered pinning synchronization of complex network via aperiodically intermittent control
This paper studies the fixed-time event-triggered pinning synchronization problem for complex network using aperiodic intermittent control. A novel fixed-time stability lemma with aperiodic intermittent characteristic is first proposed. By designing appropriate event-triggered aperiodic intermittent pinning controller (ETAIPC) based on the average control rate, several conditions are derived to ensure the fixed-time synchronization. The upper bound of setting-time is independent of any initial values and only concerns with design parameters, network size and node dimension. A simple to execute selection algorithm is adopted to renew the pinning node set. The Zeno behavior is also excluded through a rigorous theoretical analysis. Simulation examples are employed to demonstrate the efficacy of the obtained method.
期刊介绍:
Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.