基于随机时滞网络的加热炉系统最优反馈控制

Huang Xiaoshuo, Jian Jingping
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引用次数: 0

摘要

提出了基于网络的加热炉最优反馈控制方法。首先建立了基于网络的加热炉系统的数学模型。然后提出了基于时间戳BP神经网络的网络延迟时间预测方法。然后根据预测的网络延迟时间值建立离散状态方程。最后,利用卡尔曼滤波状态估计技术和李亚普诺夫稳定性理论设计了最优状态反馈控制器。本文给出了仿真响应,以突出所提出的控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network with random time delay based optimal feedback control of the heating stove systems
Network based optimal feedback control of the heating stove is presented in this paper. At first, the mathematical model of the network based heating stove system is established. Then the network delay time predictive using time-stamped BP neural network method is proposed. This is followed the discrete state equations based on predicted network delay time value. Finally, an optimal state feedback controller using the Kalman filter state estimation technique and Liapunov stability theory is designed. Simulated responses are presented in this paper to highlight the effectiveness of the proposed control strategy.
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