Fault detection for a class of nonlinear stochastic systems with Markovian switching and mixed time-delays |
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Authors: | Yue Long Guang-Hong Yang |
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Affiliation: | 1. College of Information Science and Engineering , Northeastern University , Shenyang 110819 , China;2. College of Information Science and Engineering , Northeastern University , Shenyang 110819 , China;3. State Key Laboratory of Synthetical Automation for Process Industries , Northeastern University , Shenyang 110819 , China |
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Abstract: | This article is concerned with the fault detection (FD) problem for a class of nonlinear stochastic systems with Markovian switching and mixed time-delays. The stochastic system under consideration contains discrete and distributed mode-dependent delays, nonlinearities as well as Markovian switching. Considering a new sensor fault model, which can express the failures of the loss of effectiveness and the outage, a novel FD scheme is proposed such that it is valid for this class of sensor faults. In addition, delay-dependent conditions, which include some existing results, that capture the sensitivity performance and attenuation performance are derived. Then the FD filter gains are characterised in terms of the solutions to a convex optimisation problem. Finally, an aircraft application is given to demonstrate the effectiveness of the proposed method. |
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Keywords: | fault detection stochastic system Markovian switching mixed time-delay sensor fault |
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