Dynamic-memory event-based asynchronous dissipative filtering for T-S fuzzy singular semi-Markov jump systems against multi-cyber attacks

The paper addresses the asynchronous dissipative filter design for a class of Takagi-Sugeno (T-S) fuzzy singular semi-Markov jump systems (SSMJSs) with a dynamic-memory event -triggered (DMET) transmission scheme under multiple cyber attacks. Firstly, a dynamic -memory event-triggered scheme is introduced to improve transient performance and re-duce communication burden. Meanwhile, a multiple cyber attack model considering both DoS attacks and deception attacks is constructed. Moreover, a hidden Markov model (HMM) based on the asynchronous phenomenon between the original system and the fil-ter is established. By constructing an asynchronous dissipative filter based on HMM, the filtering error systems are transformed into SSMJSs with partially known conditional prob-ability. Criteria of exponentially admissible and dissipative for the filtering error systems are presented concerning a set of linear matrix inequalities (LMIs). Then, based on the LMI technique, the design of the asynchronous dissipative filter and the dynamic-memory event-triggered scheme are given in a unified way. Lastly, a numerical example and a tun-nel diode circuit system are given to verify the effectiveness of the theoretical results.(c) 2022 Elsevier Inc. All rights reserved.