Hybrid Dynamic Event-Based Fault Detection for Markov 
Jump Systems

Xiaoxiao Xu

doi:10.70711/frim.v2i11.5572

Hybrid Dynamic Event-Based Fault Detection for Markov Jump Systems

Xiaoxiao Xu

Abstract

In this paper, a hybrid dynamic event-triggered mechanism is proposed to study the problem of fault detection Markov jump systems, in which the problem of limited parameter selection and insufficient network resource saving in traditional event-triggered mechanism
are considered simultaneously. Firstly, the hybrid dynamic event-triggered mechanism is introduced, which can be degraded to dynamic
event-triggered mechanism and adaptive event-triggered mechanism respectively by selecting different parameters. Secondly, a fault detection
filter is established, by constructing Lyapunov functional related to Markov mode and dynamic variables, sufficient conditions for satisfying
performance constraints and random stability are given in the form of LMI. Compared with the dynamic event-triggered mechanism, the effectiveness of the proposed event-triggered mechanism is verified by numerical simulation examples.

Keywords

Hybrid dynamic event-triggered mechanism; Fault detection; Markov jump system; Lyapunov functional

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References

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DOI: http://dx.doi.org/10.70711/frim.v2i11.5572

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