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. Copyright © 2012 Shuping He and Fei Liu.
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CITATION STYLE
He, S., & Liu, F. (2012). Adaptive observer-based fault estimation for stochastic Markovian jumping systems. Abstract and Applied Analysis, 2012. https://doi.org/10.1155/2012/176419
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