Observer-Based Finite-Time Fuzzy Adaptive Resilient Control for Uncertain Nonlinear Systems Against Deception Attacks and Unknown Dead Zones

This study explores the issue of observer-based adaptive finite-time resilient control for a class of uncertain strict-feedback nonlinear systems that have unknown sensor deception attacks and unknown dead zones. Due to the states of the considered system being unmeasured, a new fuzzy state observer is constructed via compromised output and fuzzy logic systems (FLSs). Moreover, the adverse impact of the deception attacks lies in that the output information is distorted, and the exact output signal is unavailable for control design. Based on the Nussbaum gain technique, a novel fuzzy finite-time resilient adaptive output feedback control scheme is developed, which incorporates both the attacked and estimated state variables. The adaptive output feedback control results reveal that all signals in the overall system remain stable and bounded. Compared to the current state feedback control results for nonlinear systems besieged by sensor-based attacks, the resilient adaptive output feedback control approach has the advantage of addressing the control issue of nonlinear systems with unavailable state measurements. Additionally, it eliminates the need to assume that the sign of the attack weight is positive. Finally, the validity of the designed controller is demonstrated through a simulation example. Note to Practitioners—In the industry, adaptive finite-time output feedback control issue of nonlinear systems exists in many different systems, such as intelligent transportation management, mobile robot networks, surveillance and monitoring. Since the above systems operate in a network environment, the security problems of the systems cannot be ignored. Hence, considering the unmeasured states, the unknown nonlinear functions, and the unknown time-varying attack gains existing simultaneously in the studied systems, it is a challenging and meaningful task to achieve the desired security control objectives. On the other hand, leveraging the Nussbaum gain technique, this article presents a novel fuzzy finite-time resilient adaptive output feedback control scheme for the nonlinear systems under the deception attacks. This method offers a practical solution for industrial applications.