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

Highlights：

• Firstly, the design of the asynchronous dissipative filter for SSMJS is studied on the premise of partially known conditional probability, which further reduces the conservatism of the system.

• Secondly, a dynamic-memory event-triggered scheme based on historical sampling signals is introduced, which not only saves system communication resources but also shortens the transient process of system response.

• Thirdly, DoS attacks and deception attacks that work together on the SSMJS are considered, where DoS attacks are aperiodic and deception attacks obeys stochastic Bernoulli distribution.

• Finally, the filtering error systems are obtained based on the designed filter, and its exponential admissible and dissipative criteria are derived.