Adaptive Fuzzy Resilient Control Against Unknown Deception Injection Attacks for Pure-Feedback Nonlinear Switched Systems With Intermittent Actuator Faults

This paper is concerned with the adaptive resilient control problem of the pure-feedback nonlinear switched systems with intermittent actuator faults. First, by employing the mean value theorem, the pure-feedback systems under consideration are converted into a category of strict-feedback nonlinear switched systems. Furthermore, by designing new coordinate transformations and Lyapunov functions, an improved adaptive resilient control design is developed, which effectively addresses the issues stemming from sensor deception attacks that obscure the original system information and involve unknown time-varying attack gains. To compensate for the intermittent failures of the actuator, a new adaptive fuzzy resilient controller is developed by co-designing the last virtual control function. Compared to the existing results, the proposed control method not only addresses the resilient control issue of pure-feedback nonlinear switched systems with deception injection attacks but also tackles the control problem of infinite actuator failures. At last, the results from the simulation substantiate the efficiency of the constructed control algorithm. Note to Practitioners —In various industries, the challenge of adaptive fuzzy control in nonlinear systems is present in systems like chaotic systems, polarization processes, mechanical systems, diffusion waves, electrical circuits, and more. As these systems function within a network environment, security issues are a critical concern. Given the presence of unknown deception injection attacks, unknown nonlinear functions, and intermittent actuator faults all at once within these systems, achieving the desired security control objectives becomes a complex and significant task. To address this, a new adaptive fuzzy resilient controller is developed by co-designing the last virtual control function. This approach provides a practical solution for industrial applications.