Event-triggered security control for fuzzy-model-based cyber-physical systems under Denial-of-Service attacks and actuator faults

This article addresses the issue of event-triggered security control for nonlinear cyber-physical systems, characterized by Denial-of-Service (DoS) attacks, time-varying delays, and actuator faults. These complexities are captured using the Takagi-Sugeno fuzzy model. Significantly, this study focuses on DoS attacks targeting the controller-to-actuator channel, and subsequently introduces a model for actuator faults that considers the prolonged utilization or degradation of component parts. To optimize communication resource allocation, a model-independent event-triggered mechanism is proposed. Utilizing the Lyapunov-Krasovskii function approach, the objective of achieving stochastic stability is transformed into a linear matrix inequalities problem, thus deriving a set of sufficient conditions. The efficiency and validity of the proposed algorithms is demonstrated through simulation results.