Fixed-Time Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Cyber-Physical Systems Against Malicious Attacks

A novel fixed-time adaptive fuzzy tracking control strategy is developed in this article to address the fixed-time tracking control problem for a category of high-order uncertain nonlinear cyber-physical systems (CPSs), which are subject to malicious attacks launched in controller-actuator (C-A) channel. In particular, the proposed control strategy not only is independent of the exact system model, but also accommodates external disturbances and malicious attacks. Meanwhile, distinct from the existing control studies for uncertain CPSs under malicious attacks which can only ensure the system performance when time tends to infinity or in finite time, the presented control strategy can guarantee the system performance in a fixed time. Additionally, reasoned proofs have been provided to substantiate that the developed control strategy can make sure that the output tracking error converges to a predefined small neighborhood of the origin in a fixed time, where the settling time and tracking accuracy level are known and can be preconfigured by selecting the design parameters appropriately. Eventually, a representative simulation is presented to demonstrate the validity and superiority of the proposed control scheme.