Adaptive control of cyber-physical systems under deception and injection attacks

In this paper, the adaptive control for cyber-physical systems under injection and deception attacks is investigated, where a class of high-order strict-feedback nonlinear systems with uncertainties is considered. An adaptive control scheme is proposed and a kind of new feedback S-type functions with a class of new Lyapunov functions are introduced to deal with the injection and deception attacks meanwhile guarantee that regulation errors could be made arbitrarily small by adjusting control parameters. Compared with existing works whose models are linear or relatively simple, the model we consider in this paper is a class of high-order nonlinear with parametric uncertainties. Under attacks the parameters will become unknown and time-varying, which are difficult to deal with. To solve this problem, a new type of feedback control scheme is introduced. A simulation example is given to verify the effectiveness of our proposed control scheme. (C) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.