Fuzzy Weighted Memory Event-Triggered Control for Networked Control Systems Subject to Deception Attacks

This paper considers the event-triggered control problem for a class of Networked Control Systems (NCS) subject to transmission delays and stochastic deception attacks. A new fuzzy weighted memory mechanism is proposed reduce network bandwidth consumption data rates. In this context, state feedback controller stabilize closed-loop NCS. Considering security NCS, randomly occurring attack model employed, assuming bounded malicious signals injected by attacker. Based on suitable Lyapunov-Krasovskii functional, design methodology proposed, in terms linear matrix inequalities, synthesize both trigger parameters NCS gains. Finally, numerical example considered illustrated effectiveness results, compared previous ones from literature.