$H_{\mathrm{\infty }}$ quantized control for networked systems subject to stochastic deception attacks: A dynamic event-triggered scheme

This paper is devoted to studying dynamic event-triggered quantized $H_{\mathrm{\infty }}$ control for networked control systems (NCSs) with stochastic deception attacks. To save limited system resources, a dynamic event-triggered scheme is offered, in which a new triggering error is introduced. A lower trigger frequency can be obtained by appropriately adjusting the triggering error. Then, considering the conventional deception attack, accumulated dynamic cyber-attack, and dynamic event-triggered scheme, a new quantized control model is constructed, and the stochastic deception attack is described by two independent Bernoulli distributed variables. Moreover, a new $H_{\mathrm{\infty }}$ performance criterion is given by using a customized Lyapunov-Krasovskii functional (LKF), and a novel controller design approach is derived based on the criterion. Finally, some simulations are listed to verify the validity of the derived methods.