A Fault-Tolerant Filter for Systems Subject to Stochastic Faults

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• 作者：Davi Antônio dos Santos ; Takashi Yoneyama
• 关键词：Fault ; tolerant state estimation ; Filtering theory ; Statistical signal processing ; Bayesian detection
• 刊名：Journal of Control, Automation and Electrical Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：28
• 期：1
• 页码：94-104
• 全文大小：
• 刊物主题：Electrical Engineering; Control, Robotics, Mechatronics; Control; Robotics and Automation;
• 出版者：Springer US
• ISSN：2195-3899
• 卷排序：28

文摘

This paper is concerned with state estimation of discrete-time linear systems subject to additive faults represented as inputs to both the state and measurement equations. Particularly, the sequence of fault inputs is assumed to be parameterizable by three fault parameters: fault magnitude, fault instant, and fault mode index. Moreover, these parameters are treated as unknown realizations of random variables defined so as to account for prior knowledge about possible faults. For tackling this problem, a two-stage filter structure is invoked.