Abstract
This paper addresses the data-driven control problem for nonlinear networked control systems (NCSs), where fading channels are subject to deception attacks. An improved dynamic linearization technique is firstly established to transform nonlinear NCSs with deception attacks and fading measurements into an equivalent data model. Meanwhile, to alleviate the effect of deception attacks and fading measurements on nonlinear NCSs, an attack compensation mechanism is presented. Moreover, the convergence of the system is analyzed, and the corresponding explicit conditions are derived. In addition, we investigate the effect of deception attacks on the performance of nonlinear NCSs. The proposed results are pure data-driven control methods, and do not need any modeling processes. Finally, the effectiveness of our method are verified by an simulation example.
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