Distributed adaptive event-triggered fault detection filter of positive semi-Markovian jump systems - Cnam - Conservatoire national des arts et métiers Access content directly
Journal Articles Nonlinear Analysis: Hybrid Systems Year : 2024

Distributed adaptive event-triggered fault detection filter of positive semi-Markovian jump systems

Abstract

This paper presents a distributed fault detection filter (FDF) for positive semi-Markovian jump systems (PSMJSs) based on an adaptive event-triggered mechanism (AETM) scheme. A novel AETM is first proposed for the systems. A weighted fault model is introduced to assist the estimation of the original fault. Utilizing stochastic copositive Lyapunov function (CLF), a distributed FDF whose parameters are designed by virtue of linear programming (LP), is proposed. Under the designed filter, the positivity and stochastic stability with -gain performance of a fault detection system is reached. The contribution of this paper contains three aspects: (i) An AETM is constructed for the considered systems, (ii) A distributed FDF is designed for the systems, and (iii) The hybrid -gain performance is achieved with respect to the disturbance and the fault. Two illustrative examples are given for verifying the validity of the results.
No file

Dates and versions

hal-04353399 , version 1 (19-12-2023)

Identifiers

Cite

Junfeng Zhang, Tarek Raïssi, Qiang Li, Di Wu. Distributed adaptive event-triggered fault detection filter of positive semi-Markovian jump systems. Nonlinear Analysis: Hybrid Systems, 2024, 51, pp.101441. ⟨10.1016/j.nahs.2023.101441⟩. ⟨hal-04353399⟩
38 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More