This paper is devoted to studying dynamic event-triggered quantized $ H_{\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_{\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.
Citation: Zongying Feng, Guoqiang Tan. $ H_{\infty} $ quantized control for networked systems subject to stochastic deception attacks: A dynamic event-triggered scheme[J]. Electronic Research Archive, 2026, 34(2): 1044-1062. doi: 10.3934/era.2026048
This paper is devoted to studying dynamic event-triggered quantized $ H_{\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_{\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.
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Zongying Feng, Guoqiang Tan. $ H_{\infty} $ quantized control for networked systems subject to stochastic deception attacks: A dynamic event-triggered scheme[J]. Electronic Research Archive, 2026, 34(2): 1044-1062. doi: 10.3934/era.2026048
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