Finite-Horizon Distributed H∞ State Estimation with Stochastic Parameters and Nonlinearities through Sensor Networks

摘要：

This paper deals with the distributed H∞ state estimation problem for a class of discrete time-varying nonlinear systems with both stochastic parameters and stochastic nonlinearities. The system measurements are collected through sensor networks with sensors distributed according to a given topology. The purpose of the addressed problem is to design a set of time-varying estimators such that the average estimation performance of the networked sensors is guaranteed over a given finite-horizon. Through available output measurements from not only the individual sensor but also its neighboring sensors, a necessary and sufficient condition is established to achieve the H∞ performance constraint. The desired estimator parameters can be obtained by solving coupled backward recursive Riccati difference equations (RDEs). A numerical simulation example is provided to demonstrate the effectiveness and applicability of the proposed estimator design approach.

关键词： Discrete time-varying systems Distributed H∞ state estimation Recursive Riccati difference equations Sensor networks Stochastic nonlinearities Stochastic parameters

作者: DING Derui WANG Zidong ZHANG Sunjie SHU Huisheng

作者单位: School of Information Science and Technology, Donghua University, Shanghai 200051, China School of S School of Information Science and Technology, Donghua University, Shanghai 200051, China Department School of Information Science and Technology, Donghua University, Shanghai 200051, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 6508-6513

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）