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Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution
Wu, Shuang1; Ren, Xiaoqiang2; Hong, Yiguang3; Shi, Ling1
2021-05-01
发表期刊IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN0018-9286
卷号66期号:5页码:2379-2385
摘要We consider the design of a fair sensor schedule for a number of sensors monitoring different linear time-invariant processes. The largest average remote estimation error among all processes is to be minimized. We first consider a general setup for the max-min fair allocation problem. By reformulating the problem as its equivalent form, we transform the fair resource allocation problem into a zero-sum game between a "judge" and a resource allocator. We propose an equilibrium seeking procedure and show that there exists a unique Nash equilibrium in pure strategy for this game. We then apply the result to the sensor scheduling problem and show that the max-min fair sensor scheduling policy can be achieved.
关键词Games Resource management Nash equilibrium Optimal scheduling Scheduling Estimation error Game theory Kalman filtering max– min fairness scheduling state estimation
DOI10.1109/TAC.2020.3007400
收录类别SCI
语种英语
资助项目Hong Kong RGC General Research Fund[16208517] ; National Key R&D Program of China[2018AAA0102800] ; National Key R&D Program of China[2018AAA0102804] ; Shanghai Key Laboratory of Power Station Automation Technology ; National Natural Science Foundation of China[61733018]
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000642765200042
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/58609
专题中国科学院数学与系统科学研究院
通讯作者Ren, Xiaoqiang
作者单位1.Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Kowloon, Hong Kong, Peoples R China
2.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China
3.Chinese Acad Sci, Inst Syst Sci, Lab Syst & Control, Beijing 100080, Peoples R China
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GB/T 7714
Wu, Shuang,Ren, Xiaoqiang,Hong, Yiguang,et al. Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2021,66(5):2379-2385.
APA Wu, Shuang,Ren, Xiaoqiang,Hong, Yiguang,&Shi, Ling.(2021).Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,66(5),2379-2385.
MLA Wu, Shuang,et al."Max-Min Fair Sensor Scheduling: Game-Theoretic Perspective and Algorithmic Solution".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 66.5(2021):2379-2385.
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