首页 | 本学科首页   官方微博 | 高级检索  
     

分数阶迭代学习控制的收敛性分析
引用本文:李岩,陈阳泉,安孝晟.分数阶迭代学习控制的收敛性分析[J].控制理论与应用,2012,29(8):1031-1037.
作者姓名:李岩  陈阳泉  安孝晟
作者单位:1. 山东大学控制科学与工程学院,山东济南,250061
2. 加州大学默塞德分校工程学院,加州默塞德95343,美国
3. 光州科学技术院机械电子学系,北区光州広域市500-712,韩国
基金项目:This work was supported by the National Natural Science Foundation of China (Nos. 61075092, 61104009), and the Natural Science Foundation of Shandong Province (Nos. ZR2011FM011, ZR2010AM007).
摘    要:本文将传统的迭代学习控制时域和频域分析方法扩展到一类针对分数阶非线性系统的分数阶迭代学习控制时域分析方法.提出了一类新的分数阶迭代学习控制框架并简化了收敛条件,且证明了常增益情况下两类分数阶迭代学习控制收敛条件的等价性问题.该讨论进一步引出了如下两个结果:分数阶不确定系统的分数阶自适应迭代学习控制的可学习区域以及理想带阻型分数阶迭代学习控制的框架.上述结果均得到了仿真验证.

关 键 词:迭代学习控制  分数阶微积分  非线性系统  收敛性  自适应
收稿时间:5/8/2012 12:00:00 AM
修稿时间:2012/6/27 0:00:00

Convergence analysis of fractional-order iterative learning control
LI Yan,CHEN Yang-quan and AHN Hyo-Sung.Convergence analysis of fractional-order iterative learning control[J].Control Theory & Applications,2012,29(8):1031-1037.
Authors:LI Yan  CHEN Yang-quan and AHN Hyo-Sung
Affiliation:School of Control Science and Engineering, Shandong University,School of Engineering, University of California,Department of Mechatronics, Gwangju Institute of Science and Technology
Abstract:The classical time domain and frequency domain analysis of iterative learning control (ILC) are extended to a type of time domain analysis of fractional order iterative learning control (FOILC) for fractional order nonlinear systems. A novel FOILC scheme is proposed, which leads to simpler convergence condition. The equivalence of the above two FOILC schemes is shown for the constant learning gain cases, which leads to two further developments: the learnable domain of an adaptive FOILC for the uncertain fractional order systems, and a desirable band-stop FOILC scheme. Several examples are provided to illustrate the presented results.
Keywords:iterative learning control  fractional calculus  nonlinear systems  convergence  adaptiveness
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《控制理论与应用》浏览原始摘要信息
点击此处可从《控制理论与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号