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Model-based event-triggered quantized control for linear discrete-time systems

机译:线性离散时间系统的基于模型的事件触发量化控制

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We discusses the stabilization problem for networked linear discrete system using quantized state in this paper. Firstly, a event-triggered control policy is proposed based on the quantized state of the system model. Then, by using linear matrix inequality method, a new co-design algorithm for the parameter of event-triggered mechanism and state feedback controller is presented. In addition, based on Bernoulli binary distribution model, a mean square asymptotical stability condition is proposed for the obtained controller when there exits packet dropout phenomenon. Finally, the effectiveness of the proposed approach is shown by some numerical simulations.
机译:本文讨论了利用量化状态的网络线性离散系统的镇定问题。首先,基于系统模型的量化状态,提出了一种事件触发的控制策略。然后,通过线性矩阵不等式方法,提出了一种新的事件触发机制与状态反馈控制器参数协同设计算法。此外,基于伯努利二元分布模型,针对所存在的控制器在存在丢包现象的情况下,提出了均方渐近稳定条件。最后,通过一些数值模拟表明了该方法的有效性。

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