具有有界未知时变延迟的基于观测器的网络预测控制器

Elshan Sarkarfarshi, Farzad Hashemzadeh, Peyman Bagheri, Mohammad Amin Rezaei
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摘要

本文研究了一个具有有界时变延迟的网络控制系统。由于网络通信延迟可能导致系统性能不佳甚至动态不稳定,因此本文还开发了一种基于观测器的预测控制器,用于对网络通信延迟进行主动补偿。通过选择适当的 Lyapunov 函数可以确定状态观测器的存在性,为此,可以根据系统的稳定性条件,利用线性矩阵不等式(LMI)计算卢恩贝格尔观测器增益。与以往的研究不同,本研究的实用性在于系统状态的可访问性,而这些状态并不总是可用的。控制器和观测器增益以及其他基本变量都是通过 LMI 得出的。闭环系统是一个开关系统,开关基于通信延迟。利用开关系统的 Lyapunov 稳定性方法,得出了充分的 LMI 条件,以保证闭环系统的稳定性。最后,仿真结果证明了所介绍方法的性能。
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Observer‐based networked predictive controller with bounded and unknown time‐varying delay
This paper investigates a networked control system with bounded and time‐varying delays. Also, an observer‐based predictive controller is developed for the active compensation of the network communication delay since it may lead to poor performances or even unstable dynamics for the systems. The existence of the state observer can be established by choosing an appropriate Lyapunov function, and to do this, Luenberger observer gain is computed with Linear Matrix Inequality (LMI) based on the stability conditions of the system. The practical aspect of this research, different from previous works, is the accessibility of the states that are not always available for the system. Controller and observer gains and other essential variables are derived through LMI. In the closed‐loop system, which is modeled as a switching system, the switches are based on communication delays. Using the Lyapunov stability method for switching systems, sufficient LMI conditions are derived to guarantee the stability of the closed‐loop system. Finally, the results of the simulation have demonstrated the performance of the methodology presented.
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