Anti-Attack Secure Fuzzy Adaptive Control for NMASs With Switching-Type Secure Estimator

This article introduces a study on the secure control of nonlinear multiagent systems (NMASs) that are vulnerable to denial-of-service (DoS) attacks, with the added complexity that system states are not directly observable. To tackle the inherent nonlinear dynamics, a fuzzy logic systems (FLSs) framework is employed as a modeling tool. Faced with the obstacle of inaccessible system states and outputs during DoS attacks, this article introduces a switching-type secure estimator. This advanced estimator is designed to accurately reconstruct the system state from sporadic output data, ensuring continuous monitoring despite interruptions. By seamlessly integrating the switching-type secure estimator with the average dwell time (ADT) method and leveraging Lyapunov stability theory, the authors have developed an output-feedback secure control strategy. This strategy not only maintains system stability but also guarantees the convergence of consensus tracking errors, even in the presence of unknown states and ongoing DoS attacks. Finally, in order to prove the effectiveness of the consensus security controller, the practicability and reliability of the proposed control scheme are verified by simulation experiments.