Switched event-based control for nonlinear cyber-physical systems under deception attacks

We address the event-based control of nonlinear cyber-physical systems subject to deception attacks. In particular, an improved Takagi–Sugeno (T–S) fuzzy model is employed to solve the mismatch problem between the fuzzy system and fuzzy controllers. From the perspective of attack detection, we construct a novel queuing model to depict deception attacks. Then, a switched event-based communication scheme is proposed, which dynamically converts with different attack modes. The idea is to appropriately reduce the number of triggers according to the severity level of attacks, which can further save network resources. By using piecewise Lyapunov functional methods, we find a solution to the co-design of fuzzy controllers and event-triggering parameters while the concerned system is guaranteed to be exponentially stable. Finally, we apply the proposed approach to a mass–spring–damper system, where the effectiveness is well verified.