Joint Probabilistic Scheduling and Resource Allocation for Wireless Networked Control Systems

被引：0
|
作者：
Meng Zheng [1 ,2 ]
Lei Zhang [2 ,3 ]
Wei Liang [1 ,2 ]
机构：
[1] IEEE
[2] the State Key Laboratory of Robotics and the Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences
[3] the University of Chinese Academy of
来源：
IEEE/CAA Journal of Automatica Sinica | 2025年 / 12卷 / 01期
关键词：
D O I：
暂无
中图分类号：
TN929.5 [移动通信]; TP273 [自动控制、自动控制系统];
学科分类号：
080201 ; 0835 ;
摘要：
<正>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 downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.
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收藏
页码：258 / 260
页数：3
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