引用本文:毕宏博,孙明轩,陈佳泉.反馈辅助学习算法在Lebesgue-p范数意义下的单调收敛性[J].控制理论与应用,2016,33(7):965~972.[点击复制]
bihongbo,SUN Ming-xuan,CHEN Jia-quan.Monotonic convergence of feedback-aided iterative learning control algorithms in the sense of Lebesgue-p norm[J].Control Theory and Technology,2016,33(7):965~972.[点击复制]
反馈辅助学习算法在Lebesgue-p范数意义下的单调收敛性
Monotonic convergence of feedback-aided iterative learning control algorithms in the sense of Lebesgue-p norm
摘要点击 2466  全文点击 1971  投稿时间:2015-05-29  修订日期:2016-08-08
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DOI编号  10.7641/CTA.2016.50466
  2016,33(7):965-972
中文关键词  迭代学习控制  反馈辅助  初始修正  Lebesgue-p范数  单调收敛
英文关键词  iterative learning control  feedback-aided  initial rectifying  Lebesgue-p norm  monotonic convergence
基金项目  国家自然科学基金项目(61174034, 61374103, 61573320), 浙江工业大学重中之重学科开放研究基金项目(20151011), 衢州学院人才培养科研启动 项目(BSYJ201505), 高等学校访问学者教师专业发展项目(FX2013195)资助.
作者单位E-mail
毕宏博 衢州学院 bihbo001@163.com 
孙明轩* 浙江工业大学 mxsun@zjut.edu.cn 
陈佳泉 衢州学院  
中文摘要
      针对一类线性时不变系统, 讨论存在固定初始偏移时的学习控制问题, 提出带有反馈辅助项的比例微分 (proportion differentiation, PD)型学习控制算法, 分析所提算法在Lebesgue-p范数意义下的单调收敛性, 获得对期望 轨迹的渐近跟踪结果. 进一步地, 为获得系统输出对期望轨迹的完全跟踪, 给出带有初始修正策略的比例–积分–微 分(proportion multiple integration differentiation, PMID)型学习律, 并给出了所提学习算法的单调收敛性能分析结果. 最后, 通过数值结果, 验证了所提学习算法的跟踪性能和单调收敛性能.
英文摘要
      Feedback-aided proportion differentiation (PD)-type iterative learning control is proposed for a class of linear time invariant systems in the presence of a fixed initial shift. Based on Lebesgue-p norm, the monotonic convergence analysis result is obtained, and the output trajectory asymptotically convergence to the desired one. Furthermore, a kind of PID-–proportion multiple integration differentiation (PMID)-type learning algorithm with initial rectifying strategy is addressed to realize completely tracking result, and the monotonic convergence analysis processes are stated. Finally, numerical results are presented to demonstrate the tracking performance and the monotonic convergence property of the proposed learning algorithms.