1. Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems.
- Author
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He, Shuping and Liu, Fei
- Subjects
- *
STOCHASTIC processes , *MARKOV processes , *JUMP processes , *TIME delay systems , *ALGORITHMS , *LINEAR matrix inequalities , *LYAPUNOV functions - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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