Distributed Fault Detection for Discrete-time Nonlinear Systems: An Innovation-based Approach

摘要：

This paper addresses the problem of fault detection for a class of discrete-time nonlinear systems when using multiple sensors.A parallel distributed architecture is used to derive the state estimates,in which the unscented Kalman lter (UKF)employed to deal with the nonlinear ltering problem.By augmenting the normalized innovation sequences,which can be derived in the UKF,into an innovation matrix,the statistical properties of this innovation matrix are used to develop fault detection rules. A numerical example is provided to verify the effectiveness of the proposed method.

作者: LIU Yan SUN Duoqing CUI Yu

作者单位: Institute of Mathematics and Systems Science,Hebei Normal University of Science and Technology,Qinhuangdao 066004,P.R.China College of Mathematics and Information Science,Hebei Normal University of Science and Technology,Qinhuangdao 066004,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）