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一阶强双曲分布参数系统的迭代学习控制 被引量：13

Iterative learning control for first order strong hyperbolic distributed parameter systems
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摘要 研究了一阶强双曲分布参数系统的迭代学习控制问题.首先利用Fourier变换和半群方法导出了系统状态的适应解.进而基于强双曲条件和Plancheral定理,在允许迭代过程中初值存在一定偏差条件下,给出并证明了系统在P型迭代学习控制算法下的收敛条件.最后应用实例说明了所提方法的有效性. An iterative learning control problem for first order strong hyperbolic distributed parameter systems is discussed.By means of Fourier transform and semigroup method,system state mild solution is built.Then,based on the strong hyperbolic condition and Plancheral theorem in Hilbert space,convergence conditions are given under P-type iterative learning control algorithms,where it is permitted to that the initial value of system state has some error in the iterative process.An example illustrate the effectiveness of the proposed method.
作者 戴喜生 田森平
机构地区 广西工学院电子信息与控制工程系 华南理工大学系统工程研究所
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2012年第8期1086-1089,共4页 Control Theory & Applications
基金 国家自然科学基金资助项目(60674034) 广西高等学校科研资助项目(201203YB125)
关键词 迭代学习控制 一阶双曲系统 FOURIER变换 iterative learning control first order hyperbolic system Fourier transform
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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共引文献21

同被引文献130

  • 1孙明轩,王郸维,陈彭年.有限区间非线性系统的重复学习控制[J].中国科学：信息科学,2010,40(3):433-444. 被引量：11
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引证文献13

二级引证文献58

控制理论与应用
2012年 第8期

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