文献类型：期刊文献

英文题名：Distributed Fault Detection for a Class of Nonlinear Stochastic Systems

作者：Yan, Bingyong[1];Wang, Huazhong[1];Wang, Huifeng[1]

机构：[1]E China Univ Sci & Technol, Dept Automat, Shanghai 200237, Peoples R China

年份：2014

卷号：2014

外文期刊名：MATHEMATICAL PROBLEMS IN ENGINEERING

收录：;EI(收录号：20144800263384);WOS:【SCI-EXPANDED(收录号:WOS:000344287700001)】；

基金：This work was supported by the Special Fund of East China University of Science and Technology for Basic Scientific Research (WH14027 and WJ1313004-1) and National Natural Science Foundation of China (nos. 21327807, H200-4-13192, and 51207007). The authors would like to thank the reviewers for the detailed comments that have helped us significantly improve the quality of our presentation.

语种：英文

外文关键词：Stochastic systems - Stochastic control systems - Linear matrix inequalities

摘要：A novel distributed fault detection strategy for a class of nonlinear stochastic systems is presented. Different from the existing design procedures for fault detection, a novel fault detection observer, which consists of a nonlinear fault detection filter and a consensus filter, is proposed to detect the nonlinear stochastic systems faults. Firstly, the outputs of the nonlinear stochastic systems act as inputs of a consensus filter. Secondly, a nonlinear fault detection filter is constructed to provide estimation of unmeasurable system states and residual signals using outputs of the consensus filter. Stability analysis of the consensus filter is rigorously investigated. Meanwhile, the design procedures of the nonlinear fault detection filter are given in terms of linear matrix inequalities (LMIs). Taking the influence of the system stochastic noises into consideration, an outstanding feature of the proposed scheme is that false alarms can be reduced dramatically. Finally, simulation results are provided to show the feasibility and effectiveness of the proposed fault detection approach.