首页> 外文会议>IEEE International Symposium on Intelligent Control >On the Convergence of Open-closed-loop D-type Iterative Learning Control for Nonlinear Systems
【24h】

On the Convergence of Open-closed-loop D-type Iterative Learning Control for Nonlinear Systems

机译:关于非线性系统开闭环D型迭代学习控制的收敛性研究

获取原文

摘要

Iterative learning control (ILC) is a simple and effective method for the control of systems that perform same task repetitively. In this paper, open-closed-loop D-type ILC problem is investigated for a class of nonlinear time-varying systems. Under a few reasonable assumptions, sufficient condition for guaranteeing the convergence of the learning scheme is given and then proved with linear operator theory. The condition is independent of the specific form of the state space model, also it is weaker than known results for D-type ILC scheme.
机译:迭代学习控制(ILC)是一种简单有效的方法,用于控制重复执行相同任务的系统。本文研究了一类非线性时变系统的开闭环D型ILC问题。在几个合理的假设下,给出了保证学习方案收敛的充分条件,然后用线性操作员理论证明。条件与状态空间模型的特定形式无关,也比D型ILC方案的已知结果较弱。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号