北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2009, Vol. 32 ›› Issue (1): 56-59.doi: 10.13190/jbupt.200901.56.renhq

• 论文 • 上一篇    下一篇

基于神经网络的滚动时域优化控制

任怀庆 梁艳春 孙亮   

  1. 通化师范学院计算机科学系吉林大学计算机科学与技术学院智能工程研究室, 吉林大学计算机科学与技术学院
  • 收稿日期:2008-05-26 修回日期:2008-06-22 出版日期:2009-01-28 发布日期:2009-01-28
  • 通讯作者: 任怀庆

The Receding Horizon Optimal Control Based on Neural Network

REN Huaiqing Liang Y C Liang   

  • Received:2008-05-26 Revised:2008-06-22 Online:2009-01-28 Published:2009-01-28
  • Contact: REN Huaiqing

摘要:

将神经网络逆模型控制方法与滚动时域优化控制技术相结合,提出了具有预测能力的基于神经网络的滚动时域优化控制方案。给出了控制器的结构设计及实现算法,并将其用于非线性不确定系统的控制,仿真实验表明,该控制器具有良好的非线性控制性能。

关键词: 滚动时域优化技术, 神经网络逆控制, 非线性系统

Abstract:

By combining the method of inverse neural control with receding horizon optimal control technology,a scheme of receding horizon optimal controller based on neural network bearing predictive capability is proposed,the structure design of the controller and the realization algorithm are also given. The controller is used to control a noninear uncertain system.Simulation indicates that the controller is effective in controlling a general class of nonlinear systems.

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