{"title":"复杂网络同步的规定时间异步非周期间歇动态事件触发控制","authors":"Xiaoqi Liu;Xiangyu Zuo;Tianrui Chen;Ju H. Park","doi":"10.1109/TSIPN.2025.3599777","DOIUrl":null,"url":null,"abstract":"This paper addresses the prescribed-time synchronization (PTS) problem of complex networks (CNs) under asynchronously aperiodic intermittent dynamic event-triggered control (AAIDE-TC). A novel asynchronous controller is designed by integrating the intermittent control (IC) scheme with the event-triggered control (E-TC) mechanism. By introducing a time-varying function into the controller, the networks’ convergence time can be constrained within any prescribed time. Furthermore, in the E-TC strategy, dynamic and exponential terms are introduced to extend the intervals between triggering events and numerical simulation verifies its effects in reducing control cost. The IC approach adopts an average control rate rather than the conventional minimal control rate, making the synchronization conditions of the networks met more easily. Additionally, a global Lyapunov function is established by adopting Kirchhoff’s Matrix Tree Theorem, thereby relaxing the requirements for coupling matrix. Consequently, a synchronization criterion of the CNs under AAIDE-TC is derived, and its accuracy and validity are verified through a numerical simulation of coupled single-link manipulators.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"11 ","pages":"1151-1162"},"PeriodicalIF":3.0000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed-Time Asynchronously Aperiodic Intermittent Dynamic Event-Triggered Control for Synchronization of Complex Networks\",\"authors\":\"Xiaoqi Liu;Xiangyu Zuo;Tianrui Chen;Ju H. Park\",\"doi\":\"10.1109/TSIPN.2025.3599777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the prescribed-time synchronization (PTS) problem of complex networks (CNs) under asynchronously aperiodic intermittent dynamic event-triggered control (AAIDE-TC). A novel asynchronous controller is designed by integrating the intermittent control (IC) scheme with the event-triggered control (E-TC) mechanism. By introducing a time-varying function into the controller, the networks’ convergence time can be constrained within any prescribed time. Furthermore, in the E-TC strategy, dynamic and exponential terms are introduced to extend the intervals between triggering events and numerical simulation verifies its effects in reducing control cost. The IC approach adopts an average control rate rather than the conventional minimal control rate, making the synchronization conditions of the networks met more easily. Additionally, a global Lyapunov function is established by adopting Kirchhoff’s Matrix Tree Theorem, thereby relaxing the requirements for coupling matrix. Consequently, a synchronization criterion of the CNs under AAIDE-TC is derived, and its accuracy and validity are verified through a numerical simulation of coupled single-link manipulators.\",\"PeriodicalId\":56268,\"journal\":{\"name\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"volume\":\"11 \",\"pages\":\"1151-1162\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11127120/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal and Information Processing over Networks","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11127120/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Prescribed-Time Asynchronously Aperiodic Intermittent Dynamic Event-Triggered Control for Synchronization of Complex Networks
This paper addresses the prescribed-time synchronization (PTS) problem of complex networks (CNs) under asynchronously aperiodic intermittent dynamic event-triggered control (AAIDE-TC). A novel asynchronous controller is designed by integrating the intermittent control (IC) scheme with the event-triggered control (E-TC) mechanism. By introducing a time-varying function into the controller, the networks’ convergence time can be constrained within any prescribed time. Furthermore, in the E-TC strategy, dynamic and exponential terms are introduced to extend the intervals between triggering events and numerical simulation verifies its effects in reducing control cost. The IC approach adopts an average control rate rather than the conventional minimal control rate, making the synchronization conditions of the networks met more easily. Additionally, a global Lyapunov function is established by adopting Kirchhoff’s Matrix Tree Theorem, thereby relaxing the requirements for coupling matrix. Consequently, a synchronization criterion of the CNs under AAIDE-TC is derived, and its accuracy and validity are verified through a numerical simulation of coupled single-link manipulators.
期刊介绍:
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.