Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems

Shuping He and Fei Liu

Abstract and Applied Analysis, 2012, vol. 2012, 1-11

Abstract:

This paper studies the adaptive fault estimation problems for stochastic Markovian jump systems (MJSs) with time delays. With the aid of the selected Lyapunov-Krasovskii functional, the adaptive fault estimation algorithm based on adaptive observer is proposed to enhance the rapidity and accuracy performance of fault estimation. A sufficient condition on the existence of adaptive observer is presented and proved by means of linear matrix inequalities techniques. The presented results are extended to multiple time-delayed MJSs. Simulation results illustrate that the validity of the proposed adaptive faults estimation algorithms.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:176419

DOI: 10.1155/2012/176419

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