Event-based recursive filtering for time-delayed stochastic nonlinear systems with missing measurements

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• 作者：Jingyang Mao^a ; Derui Ding^a ; ^{deruiding2010@usst.edu.cn} ; Yan Song^a ; Yurong Liu^b ; ^c ; Fuad E. Alsaadi^c
• 关键词：Time-delayed stochastic nonlinear systems ; Recursive filtering ; Event-triggering protocols ; Varying thresholds
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：134
• 期：Complete
• 页码：158-165
• 全文大小：829 K
• 卷排序：134

文摘

In this paper, the recursive filtering is investigated for a type of time-delayed stochastic nonlinear systems with event-based communication protocols and missing measurements. A varying condition threshold in event triggering protocols is introduced to better match up with the system dynamic performance. The purpose of this paper is to develop an easy-implemented recursive algorithm with consideration of linearization errors, time-delays, packet losses as well as adopted communication protocols. By carrying out some elaborate mathematical operation, the desired parameters can be derived by means of the solutions to two Riccati-like difference equations. Such parameters can effectively suppress the trace of filtering error covariances and therefore the developed filtering algorithm is suboptimal. Finally, an illustrative example is presented to show the effectiveness of the developed filtering algorithm.