Distributed Variance-Constrained Filtering for Time-Varying Systems with Multiplicative Noises and Randomly Occurring Nonlinearities over Sensor Networks
作者单位:Department of Applied Mathematics Harbin University of Science and Technology School of Engineering University of South Wales
会议名称:《第30届中国控制与决策会议》
会议日期:2018年
学科分类:080902[工学-电路与系统] 0809[工学-电子科学与技术(可授工学、理学学位)] 080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程]
基 金:supported in part by the National Natural Science Foundation of China(NSFC)under Grants 11271103 and 61673141 the European Regional Development Fund under Grant 80761-USW-059
关 键 词:Time-Varying Systems Sensor Networks Distributed Filtering Multiplicative Noises Randomly Occurring Nonlinearities
摘 要:This paper is concerned with distributed variance-constrained filtering problem for a class of time-varying systems and multiplicative noises and randomly occurring nonlinearities. The target plant is disturbed by the multiplicative noises as well as additive noises. By fully taking the network topology structure into account, the available measurements collected by each sensor node and its adjacent sensor node are used when designing the recursive *** is focused on the design of a distributed variance-constrained filtering algorithm such that, in the simultaneous presence of multiplicative noises and randomly occurring nonlinearities, an upper bound of the filtering error covariance is obtained in terms of the solutions to two Riccati-like difference equations. Furthermore, the filter parameters are designed to minimize the obtained upper bound by utilizing a novel matrix simplification technique. Finally, a numerical simulation is utilized to demonstrate the effectiveness of the proposed distributed filtering scheme.