Secure event-triggered control of nonlinear networked systems via interval type-2 fuzzy observer design

This paper investigates the problem of observer-based event-triggered control for nonlinear networked control systems subject to deception attacks. An interval type-2 fuzzy logic was developed to improve the type-1 fuzzy form, which has a lower and upper membership function that represents the uncertain parameters and can provide control accuracy. An event-triggering scheme was developed based on the observer in the presence of deception attacks, which reduces unnecessary communications and saves limited bandwidth. An event-triggering scheme is employed to adapt the limited communication links. The Lyapunov-Krasovskii functional is used to obtain sufficient conditions to ensure asymptotic stability for interval type-2 fuzzy systems. The linear matrix inequality (LMI) technique is used to obtain the observer and controller gain matrices. Finally, numerical examples are offered to demonstrate the efficacy and applicability of the theoretical findings.