Adaptive resilient control for cyber-physical systems against unknown injection attacks in sensor networks

An adaptive resilient control is concerned for a class of cyber-physical systems (CPSs) in the presence stealthy false data injection attacks sensor networks and strict-feedback nonlinear dynamics. As sensors are attacked by ill-disposed hackers, exactly measured state information unavailable feedback control. After theory ratiocinations, initial issue transformed into uncertainty dynamics unknown directions at last step. At each step recursive backstepping control, extended observers (ESOs) active disturbance rejection (ADRC) investigated to approximate lumped system uncertainties. Specially, Nussbaum functions introduced All closed-loop signals proved be semi-globally uniformly ultimately bounded Lyapunov theory. Finally, numerical simulations verify that proposed can afford favorable stabilization performance counter attack.