A Double Sensitive Fault Detection Filter for Positive Markovian Jump Systems With A Hybrid Event-Triggered MechanismOACSTPCDEI
A Double Sensitive Fault Detection Filter for Positive Markovian Jump Systems With A Hybrid Event-Triggered Mechanism
This paper is concerned with the double sensitive fault detection filter for positive Markovian jump systems.A new hybrid adaptive event-triggered mechanism is proposed by intro-ducing a non-monotonic adaptive law.A linear adaptive event-triggered threshold is established by virtue of 1-norm inequality.Under such a triggering strategy,the original system can be transformed into an interval uncertain system.By using a stochastic copositive Lyapunov function,an asynchronous fault detection filter is designed for positive Markovian jump systems(PMJSs)in terms of linear programming.The presented filter satisfies both L_-gain(l--gain)fault sensitivity and L1(l1)internal differential privacy sensitivity.The proposed approach is also extended to the discrete-time case.Finally,two examples are provided to illustrate the effectiveness of the proposed design.
Junfeng Zhang;Baozhu Du;Suhuan Zhang;Shihong Ding
School of Information and Communication Engineering,Hainan University,Haikou 570228,ChinaCollege of Electronics and Information Engineering,Tongji University,Shanghai 201804,ChinaSchool of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China
Fault detection filterhybrid event-triggered mecha-nismpositive Markovian jump systems(PMJSs)sensitivity
《自动化学报（英文版）》 2024 (011)
2298-2315 / 18
This work was supported by the National Natural Science Foundation of China(62073111,62073167),the Natural Science Foundation of Hainan Province(621QN212),and Science Research Funding of Hainan University(KYQD(ZR)22180).
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