{"title":"通信、传感和控制集成闭环系统:建模、控制设计和资源分配","authors":"Zeyang Meng, Dingyou Ma, Zhiqing Wei, Ying Zhou, Zhiyong Feng","doi":"arxiv-2409.11796","DOIUrl":null,"url":null,"abstract":"The wireless communication technologies have fundamentally revolutionized\nindustrial operations. The operation of the automated equipment is conducted in\na closed-loop manner, where the status of devices is collected and sent to the\ncontrol center through the uplink channel, and the control center sends the\ncalculated control commands back to the devices via downlink communication.\nHowever, existing studies neglect the interdependent relationship between\nuplink and downlink communications, and there is an absence of a unified\napproach to model the communication, sensing, and control within the loop. This\ncan lead to inaccurate performance assessments, ultimately hindering the\nability to provide guidance for the design of practical systems. Therefore,\nthis paper introduces an integrated closed-loop model that encompasses sensing,\ncommunication, and control functionalities, while addressing the coupling\neffects between uplink and downlink communications. Through the analysis of\nsystem convergence, an inequality pertaining to the performances of sensing,\ncommunication, and control is derived. Additionally, a joint optimization\nalgorithm for control and resource allocation is proposed. Simulation results\nare presented to offer an intuitive understanding of the impact of system\nparameters. The findings of this paper unveil the intricate correlation among\nsensing, communication, and control, providing insights for the optimal design\nof industrial closed-loop systems.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":"112 2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Communication, Sensing and Control integrated Closed-loop System: Modeling, Control Design and Resource Allocation\",\"authors\":\"Zeyang Meng, Dingyou Ma, Zhiqing Wei, Ying Zhou, Zhiyong Feng\",\"doi\":\"arxiv-2409.11796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wireless communication technologies have fundamentally revolutionized\\nindustrial operations. The operation of the automated equipment is conducted in\\na closed-loop manner, where the status of devices is collected and sent to the\\ncontrol center through the uplink channel, and the control center sends the\\ncalculated control commands back to the devices via downlink communication.\\nHowever, existing studies neglect the interdependent relationship between\\nuplink and downlink communications, and there is an absence of a unified\\napproach to model the communication, sensing, and control within the loop. This\\ncan lead to inaccurate performance assessments, ultimately hindering the\\nability to provide guidance for the design of practical systems. Therefore,\\nthis paper introduces an integrated closed-loop model that encompasses sensing,\\ncommunication, and control functionalities, while addressing the coupling\\neffects between uplink and downlink communications. Through the analysis of\\nsystem convergence, an inequality pertaining to the performances of sensing,\\ncommunication, and control is derived. Additionally, a joint optimization\\nalgorithm for control and resource allocation is proposed. Simulation results\\nare presented to offer an intuitive understanding of the impact of system\\nparameters. The findings of this paper unveil the intricate correlation among\\nsensing, communication, and control, providing insights for the optimal design\\nof industrial closed-loop systems.\",\"PeriodicalId\":501175,\"journal\":{\"name\":\"arXiv - EE - Systems and Control\",\"volume\":\"112 2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - EE - Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communication, Sensing and Control integrated Closed-loop System: Modeling, Control Design and Resource Allocation
The wireless communication technologies have fundamentally revolutionized
industrial operations. The operation of the automated equipment is conducted in
a closed-loop manner, where the status of devices is collected and sent to the
control center through the uplink channel, and the control center sends the
calculated control commands back to the devices via downlink communication.
However, existing studies neglect the interdependent relationship between
uplink and downlink communications, and there is an absence of a unified
approach to model the communication, sensing, and control within the loop. This
can lead to inaccurate performance assessments, ultimately hindering the
ability to provide guidance for the design of practical systems. Therefore,
this paper introduces an integrated closed-loop model that encompasses sensing,
communication, and control functionalities, while addressing the coupling
effects between uplink and downlink communications. Through the analysis of
system convergence, an inequality pertaining to the performances of sensing,
communication, and control is derived. Additionally, a joint optimization
algorithm for control and resource allocation is proposed. Simulation results
are presented to offer an intuitive understanding of the impact of system
parameters. The findings of this paper unveil the intricate correlation among
sensing, communication, and control, providing insights for the optimal design
of industrial closed-loop systems.