Adaptive Observer‐Based Fault Estimation for Stochastic Markovian Jumping Systems
Shuping He and
Fei Liu
Abstract and Applied Analysis, 2012, vol. 2012, issue 1
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
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2012/176419
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:176419
Access Statistics for this article
More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().