Xiao-Hui Liu;Guang-Hong Yang;Georgi Marko Dimirovski
{"title":"时变信道无线网络控制系统中基于事件的传感器传输策略","authors":"Xiao-Hui Liu;Guang-Hong Yang;Georgi Marko Dimirovski","doi":"10.1109/TSMC.2025.3525556","DOIUrl":null,"url":null,"abstract":"This article is concerned with the optimal event-based sensor transmission strategy for wireless networked control systems (WNCSs), which aims to minimize the linear quadratic Gaussian (LQG) cost under the communication rate constraints. A sufficient and necessary condition for the convergence of LQG cost is derived. Then, under this condition, the optimal event-based transmission strategy (OETS) is obtained by proposing a search algorithm. Compared with the existing works, the real-time state information of the channel is not required. Finally, the validity of the results is illustrated through a numerical example.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 4","pages":"2528-2536"},"PeriodicalIF":8.4000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-Based Sensor Transmission Strategy for Wireless Networked Control Systems Over Time-Varying Channels\",\"authors\":\"Xiao-Hui Liu;Guang-Hong Yang;Georgi Marko Dimirovski\",\"doi\":\"10.1109/TSMC.2025.3525556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is concerned with the optimal event-based sensor transmission strategy for wireless networked control systems (WNCSs), which aims to minimize the linear quadratic Gaussian (LQG) cost under the communication rate constraints. A sufficient and necessary condition for the convergence of LQG cost is derived. Then, under this condition, the optimal event-based transmission strategy (OETS) is obtained by proposing a search algorithm. Compared with the existing works, the real-time state information of the channel is not required. Finally, the validity of the results is illustrated through a numerical example.\",\"PeriodicalId\":48915,\"journal\":{\"name\":\"IEEE Transactions on Systems Man Cybernetics-Systems\",\"volume\":\"55 4\",\"pages\":\"2528-2536\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Systems Man Cybernetics-Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10849985/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10849985/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Event-Based Sensor Transmission Strategy for Wireless Networked Control Systems Over Time-Varying Channels
This article is concerned with the optimal event-based sensor transmission strategy for wireless networked control systems (WNCSs), which aims to minimize the linear quadratic Gaussian (LQG) cost under the communication rate constraints. A sufficient and necessary condition for the convergence of LQG cost is derived. Then, under this condition, the optimal event-based transmission strategy (OETS) is obtained by proposing a search algorithm. Compared with the existing works, the real-time state information of the channel is not required. Finally, the validity of the results is illustrated through a numerical example.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.