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Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
He, Shuping& Liu, Fei. 2012. Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-452040
Modern Language Association (MLA)
He, Shuping& Liu, Fei. Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems. Abstract and Applied Analysis No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-452040
American Medical Association (AMA)
He, Shuping& Liu, Fei. Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-452040
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452040