线性离散系统的基于模型的事件触发量化控制

Tingting Sun, Lei Zhou
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引用次数: 1

摘要

本文讨论了利用量子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控制策略。然后,利用线性矩阵不等式方法,提出了一种新的事件触发机构参数与状态反馈控制器的协同设计算法。此外,基于伯努利二值分布模型,给出了当存在丢包现象时所得到的控制器的均方渐近稳定性条件。最后,通过数值仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-based event-triggered quantized control for linear discrete-time systems
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.
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