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作 者:朱凤增 彭力 ZHU Feng-zeng;PENG Li(Engineering Research Center for Internet of Things Technology Application Ministry of Education,Jiangnan University,Wuxi Jiangsu 214122,China;School of Automation and Electrical Engineering,Linyi University,Linyi Shandong 276005,China;Key Laboratory of Internet of Things Application Technology,Wuxi Taihu University,Wuxi Jiangsu 214063,China)
机构地区:[1]江南大学物联网应用技术教育部工程中心,江苏无锡214122 [2]临沂大学自动化与电气工程学院,山东临沂276005 [3]无锡太湖学院物联网应用技术重点建设实验室,江苏无锡214063
出 处:《控制理论与应用》2022年第10期1925-1936,共12页Control Theory & Applications
基 金:国家自然科学基金项目(61873112)资助。
摘 要:本文关注的是一类信息物理系统的分布式状态估计问题.由于传感器网络通信带宽有限,当大量节点同时发送数据时,可能造成数据冲突.因此,通过引入轮询协议减轻传感器网络通信负担,在该协议下每个节点的测量分量将依次且周期性访问网络.考虑滤波网络拓扑切换概率矩阵是时变的,因此采用非齐次Markov链描述随机拓扑切换行为,证明了估计误差以指数衰减的形式收敛,确保了滤波误差系统在均方意义下最终有界.进一步地,通过解决特定拓扑依赖的凸优化问题获得期望的分布式滤波器参数.最后,通过两个例子证明了所设计的分布式状态估计方法的可行性.This paper is concerned with the problem of distributed state estimation for a class of cyber-physical systems.Since sensor networks have limited communication bandwidth,data conflicts may occur when a large number of nodes send data at the same time.The Round-Robin protocol is introduced to ease the communication burden of the sensor network,where the measurement components of each node access the network sequentially and periodically.Considering that the topology switching probability matrices of the filtering network are time-varying,a non-homogeneous Markov chain is used to describe the stochastic topology switching behavior.It is shown that the estimation errors converge in an exponentially decaying form,which ensures that the estimation error system is eventually bounded in the mean square sense.Furthermore,the desired distributed filter parameters can be obtained by solving a specific topology-dependent convex optimization problem.Finally,the feasibility of the designed distributed state estimation method is demonstrated by two examples.
分 类 号:TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]
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