Adaptive memory event-triggered double asynchronous fault detection and security control for fuzzy semi-Markov jump systems under cyberattacks

Abstract

This paper studies the issue of event-triggered fault detection and security control for fuzzy semi-Markov jump systems (FSMJSs) under deception attacks. In particular, a novel adaptive memory event-triggered mechanism (AMETM) that avoids Zeno behavior is considered to improve the transmission efficiency. Meanwhile, the designed adaptive memory triggering condition includes current and historical triggered data. Furthermore, for the sake of realizing the objective of detecting system fault and implementing safety control simultaneously, a double asynchronous mixed fault detection and security control (MFDASC) module is proposed. The module integrated by the fault detection filter and the dynamic output feedback controller can deal with the mismatch of the premise variables and the modes between the system and the corresponding module. Then, the sufficient conditions for strict fault detect and security control dissipation of closed-loop systems are obtained by utilizing integral inequalities. Ultimately, the validity of the designed method is demonstrated by a tunnel diode circuit example.