Adaptive Control for a Class of Strict Feedback Nonlinear Systems Under Replay and Actuator Attacks

In this study, controller design and resilience analysis are investigated for a class of strict feedback nonlinear systems subjected to replay and actuator attacks. To maintain the stability of the system under these hybrid attacks, an adaptive controller is designed to mitigate their negative effects. In addition, the resilience of the proposed control strategy is analyzed using Lyapunov stability theory, and an upper bound on the duration of replay attacks is derived. Finally, the effectiveness of the approach is validated through simulations of a single-link robotic arm system.