Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks
Yue Yang, Jiangshuai Huang, Xiaojie Su, Kai Wang, Guoqi Li
Abstract
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.
Topics & Concepts
DeceptionControl theory (sociology)Nonlinear systemScheme (mathematics)Adaptive controlParametric statisticsComputer scienceControl (management)MathematicsArtificial intelligenceLawPolitical sciencePhysicsQuantum mechanicsMathematical analysisStatisticsAdaptive Control of Nonlinear SystemsSmart Grid Security and ResilienceExtremum Seeking Control Systems