{"title":"无线网络控制系统的联合概率调度与资源分配","authors":"Meng Zheng;Lei Zhang;Wei Liang","doi":"10.1109/JAS.2024.124707","DOIUrl":null,"url":null,"abstract":"Dear Editor, This letter presents a joint probabilistic scheduling and resource allocation method (PSRA) for 5G-based wireless networked control systems (WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian (LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and down-link phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 1","pages":"258-260"},"PeriodicalIF":15.3000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848390","citationCount":"0","resultStr":"{\"title\":\"Joint Probabilistic Scheduling and Resource Allocation for Wireless Networked Control Systems\",\"authors\":\"Meng Zheng;Lei Zhang;Wei Liang\",\"doi\":\"10.1109/JAS.2024.124707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dear Editor, This letter presents a joint probabilistic scheduling and resource allocation method (PSRA) for 5G-based wireless networked control systems (WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian (LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and down-link phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.\",\"PeriodicalId\":54230,\"journal\":{\"name\":\"Ieee-Caa Journal of Automatica Sinica\",\"volume\":\"12 1\",\"pages\":\"258-260\"},\"PeriodicalIF\":15.3000,\"publicationDate\":\"2025-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848390\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ieee-Caa Journal of Automatica Sinica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10848390/\",\"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-Caa Journal of Automatica Sinica","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10848390/","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}
Joint Probabilistic Scheduling and Resource Allocation for Wireless Networked Control Systems
Dear Editor, This letter presents a joint probabilistic scheduling and resource allocation method (PSRA) for 5G-based wireless networked control systems (WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian (LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and down-link phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.
期刊介绍:
The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control.
Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.