Reconfigurable Fault Tolerant Control for Linear Stochastic Systems subject to Sequential Jumps
نویسنده
چکیده
For sequential jumps detection, isolation and estimation in discrete-time stochastic linear systems, Willsky and Jones (1976) have developed the Generalized Likelihood Ratio (GLR) test. For the treatment of sequential jumps, the jump-free Kalman filter is updated on-line after each detection of one jump by a direct state estimate and covariance incrementation using the informations produced by the GLR detector. This paper proposes another updating strategy based on a reference model updated on-line by the states of jumps declared to be occurred during the sequential processing. The augmented state Kalman filter designed on this updated reference model will be optimaly initialized at each detection time from information given by the GLR detector. We will show how the obtained Fault detection and Isolation (FDI) scheme can be integrated in a reconfigurable Fault-Tolerant Control System (FTCS) in order to ensure continued useful operation when sequential jumps occur.
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For sequential jumps detection, isolation, and estimation in discrete-time stochastic linear systems, Willsky and Jones (1976) have developed the Generalized Likelihood Ratio (GLR) test. After each detection and isolation of one jump, the treatment of another possible jump is obtained by a direct state estimate and covariance incrementation of the Kalman filter originally designed on the jump-f...
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