Simultaneous fault detection and control for continuous-time Markovian jump systems with partially unknown transition probabilities

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摘要

This paper focuses on the problem of the simultaneous fault detection and control (SFDC) for continuous-time Markovian jump systems (MJSs) with partially unknown transition probabilities (TPs). Under the H∞/H− framework, the fault detection filter and dynamic output feedback controller are presented simultaneously. An adaptive method is utilized to solve the difficulty caused by the unknown transition probabilities. Based on the linear matrix inequality (LMI) approach with adaptive mechanism, a sufficient condition for designing fault detection filter and controller which satisfy the H∞/H− performance is proposed in terms of the adaptive laws. The simulation results are provided to illustrate the validity and applicability of the proposed control scheme.

论文关键词:Fault detection,Dynamic output feedback,Markovian jump systems,Partially unknown transition Probabilities,Adaptive method

论文评审过程:Received 14 March 2018, Revised 14 May 2018, Accepted 27 May 2018, Available online 19 June 2018, Version of Record 19 June 2018.

论文官网地址:https://doi.org/10.1016/j.amc.2018.05.049