{"title":"State Estimation of Networked Switched Systems via Event-Triggered Zonotopes","authors":"Zhen Wu;Weizhong Chen;Zhongyang Fei;Xudong Zhao","doi":"10.1109/TCNS.2024.3425641","DOIUrl":null,"url":null,"abstract":"In this article, the state estimation issue is investigated for networked switched systems via an event-triggered zonotope method, and the general asynchronism is considered between subsystems and observers. First, the event-triggered zonotope is proposed to enclose the system state, where the observer gain only updates with the switching signal at triggering instants. The restriction on the switching signal is removed such that system switchings can happen more than once over each interevent interval. Then, specific iteration procedures are provided for the generator matrix in synchronous and asynchronous intervals. Solvable conditions are proposed to jointly optimize the event-triggered parameters and observer gains by constructing observer-mode-dependent radius functions. The boundedness and <inline-formula><tex-math>${\\mathcal {L}}_{\\infty }$</tex-math></inline-formula> performance are analyzed for the radius of the zonotope under restricted switchings. Finally, an implementation to the H-bridge rectifier is presented, which validates the merits of the proposed method.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"838-846"},"PeriodicalIF":4.0000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10591409/","RegionNum":3,"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
In this article, the state estimation issue is investigated for networked switched systems via an event-triggered zonotope method, and the general asynchronism is considered between subsystems and observers. First, the event-triggered zonotope is proposed to enclose the system state, where the observer gain only updates with the switching signal at triggering instants. The restriction on the switching signal is removed such that system switchings can happen more than once over each interevent interval. Then, specific iteration procedures are provided for the generator matrix in synchronous and asynchronous intervals. Solvable conditions are proposed to jointly optimize the event-triggered parameters and observer gains by constructing observer-mode-dependent radius functions. The boundedness and ${\mathcal {L}}_{\infty }$ performance are analyzed for the radius of the zonotope under restricted switchings. Finally, an implementation to the H-bridge rectifier is presented, which validates the merits of the proposed method.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.