Fault estimation for a class of nonlinear Markov jump systems with general uncertain transition rates

Li-Wei Li and Guang-Hong Yang

International Journal of Systems Science, 2017, vol. 48, issue 4, 805-817

Abstract: This paper addresses the problem of fault estimation for a class of nonlinear Markov jump systems with Lipschitz-type nonlinearities and general transition rates allowed to be uncertain and unknown. First, by introducing a mode-dependent intermediate variable, an intermediate estimator is proposed to estimate faults and state simultaneously. Then, a vertex separator is exploited to develop a sufficient condition for the fault estimator design in terms of linear matrix inequalities. The design guarantees the boundedness in probability of the estimation errors if the derivations of the faults are bounded. Further, it is proved that the proposed approach is less conservative than the traditional methods. Finally, examples are given to show the advantages and effectiveness of the results.

Date: 2017
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DOI: 10.1080/00207721.2016.1216199

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