引用本文:池荣虎,侯忠生,王郸维,金尚泰.非线性离散时间系统的最优终端迭代学习控制[J].控制理论与应用,2012,29(8):1025~1030.[点击复制]
CHI Rong-hu,HOU Zhong-sheng,WANG Dan-wei,JIN Shang-tai.An optimal terminal iterative learning control approach for nonlinear discrete-time systems[J].Control Theory and Technology,2012,29(8):1025~1030.[点击复制]
非线性离散时间系统的最优终端迭代学习控制
An optimal terminal iterative learning control approach for nonlinear discrete-time systems
摘要点击 2523  全文点击 1646  投稿时间:2012-05-05  修订日期:2012-06-29
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DOI编号  10.7641/j.issn.1000-8152.2012.8.LCTA120450
  2012,29(8):1025-1030
中文关键词  终端迭代学习控制  最优设计  数据驱动控制  非线性系统
英文关键词  terminal iterative learning control (ILC)  optimality-based design  data-driven control  nonlinear systems
基金项目  This work is supported by National Science Foundation of China (Nos. 60974040, 60834001, 61120106009), the Research Award Foundation for the Excellent Youth Scientists of Shandong Province of China (No. BS2011DX010), and the Fundamental Research Funds for the Central Universities (No. 2011JBM201).
作者单位E-mail
池荣虎* 青岛科技大学 自动化与电子工程学院 rhchi@163.com 
侯忠生 北京交通大学 电子与信息工程学院 先进控制系统研究所  
王郸维 南洋理工大学 电机与电子工程学院E-城市研究中心  
金尚泰 北京交通大学 电子与信息工程学院 先进控制系统研究所  
中文摘要
      仅利用系统的终端输出误差而不是整个输出轨迹, 提出了一种最优终端迭代学习控制方法. 控制信号可直接通过终点的误差信息进行更新. 主要创新点在于控制器的设计和分析只利用系统量测的I/O数据而不需要关于系统模型的任何信息, 并可实现沿迭代轴的单调收敛. 在此意义上, 所提出的控制器是数据驱动的无模型控制方法.严格的数学分析和仿真结果均表明了所提出方法的适用性和有效性.
英文摘要
      This paper presents an optimal terminal iterative learning control (TILC) approach by considering only the terminal output tracking error instead of the whole output trajectory tracking error. The control signal is directly updated from the error information of the given final terminal point. The key contributions of the presented optimal terminal iterative learning control (ILC) is that the controller design and analysis only uses the measured I/O data without any modeling information of the plant and the monotonic convergence is guaranteed. In this sense, the proposed controller is a datadriven approach. Both rigorous mathematical analysis and simulation results illustrate the applicability and effectiveness of the proposed approach.