Fixed-Time Adaptive Control for Uncertain High-Order Nonlinear CPSs Against Dual-Channel Attacks

This article proposes an adaptive fixed-time control strategy for uncertain high-order nonlinear CPS subject to deception attacks on both the sensor-to-controller (S-C) and controller-to-actuator (C-A) communication channels. First, to mitigate the impact of dual-channel attacks, mathematical tools are employed to decouple the high-order term induced by C-A channel attacks, and a robust controller is designed based on the compromised state information. Second, novel Lyapunov functions and an adaptive mechanism are constructed to transform nonlinear uncertainties into a linearly parameterized form with unknown parameters. This transformation effectively compensates for unknown control coefficients and mitigates the severe nonlinear growth caused by high-order dynamics under attacks. Third, a control strategy independent of the system's powers is developed, which relaxes the requirement for prior knowledge of system powers and avoids singularities. Finally, the effectiveness and feasibility of the proposed strategy are confirmed via simulation results.