Fault Detection Filter for Markov Jump Systems

Yu Cai Ding; Hong Zhu; Shou Ming Zhong; Yu Ping Zhang

doi:10.4028/www.scientific.net/AMR.503-504.1488

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 503-504Fault Detection Filter for Markov Jump Systems

Fault Detection Filter for Markov Jump Systems

Abstract:

This paper deals with the problem of fault detection for Markov jump systems (MJSs) with time-varying delays and partly unknown transition probabilities. The aim of this paper is to design a fault detection filter such that the filtering error system is stochastically asymptotically stable with an attenuation level. By using the Lyapunov-Krasovskii functional, a sufficient condition for the existence of the desired fault detection filter is formulated in terms of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed main results.

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Periodical:

Advanced Materials Research (Volumes 503-504)

Pages:

1488-1492

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.503-504.1488

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Online since:

April 2012

Authors:

Yu Cai Ding, Hong Zhu, Shou Ming Zhong, Yu Ping Zhang

Keywords:

Filtering, Mode-Dependent, Partly Unknown Transition Probabilities, Time Delay

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References

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