4.7 Article

Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2020.3003801

Keywords

Sensors; Adaptive control; Adaptation models; Nonlinear systems; Actuators; Uncertainty; Adaptive control; cyber-physical system; deception attack; injection attack

Funding

  1. National Key Research and Development Program of China [2019YFB1312002]
  2. National Natural Science Foundation of China [61703061]

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This article discusses the adaptive control for a class of strict-feedback nonlinear systems with uncertainties under injection and deception attacks. It proposes an adaptive control scheme to deal with the attacks while ensuring that regulation errors can be made arbitrarily small by adjusting control parameters.
In this article, the adaptive control for a class of strict-feedback nonlinear systems with uncertainties under injection and deception attacks is considered. An adaptive control scheme is proposed 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 article is nonlinear with parametric uncertainties. A new type of feedback control scheme is introduced to solve this problem. A simulation example is given to verify the effectiveness of our proposed control scheme.

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