Finite-time adaptive control of output constrained nonlinear systems under deception attacks

This paper addresses the adaptive finite-time tracking control problem for a class of output constrained nonlinear networked control systems (NCSs) that are vulnerable to deception attacks, characterized by the corruption of the state signal transmitted from sensor to controller and the control signal transmitted from controller to actuator. For compromised NCSs, a novel adaptive finite-time controller is developed to minimize the impact of the attacks under consideration. First, by using time-varying asymmetric barrier Lyapunov function to restrict NCSs output to obtain satisfactory tracking performance. Then, the Nussbaum function is employed to address the complexities that arise from unknown control directions, which result from deception attacks. Furthermore, using finite-time Lyapunov stability theory, a sufficient condition that the system is practical finite-time stability under deception attacks is provided and a finite-time secure control strategy is developed to ensure the convergence of all signals in NCSs to a neighborhood in close proximity to the origin within a finite time. Finally, the effectiveness of the proposed approach is verified by using an electromechanical system and a series elastic actuator system as two simulation examples. The advantages of our proposed methodology are further substantiated through a comparative analysis of the simulation results.