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线性系统闭环P型迭代学习算法的仿真分析
引用本文:肖阳,朱芳来.线性系统闭环P型迭代学习算法的仿真分析[J].兵工自动化,2006,25(4):75-76.
作者姓名:肖阳  朱芳来
作者单位:桂林电子工业学院,计算机系,广西,桂林,541004
摘    要:线性闭环P型迭代学习算法,针对一具体的LTI系统,运用四阶的龙格库塔方法.先求得序列值,再利用新产生的参数值和闭环学习律产生相应常数序列,然后一直迭代下去,用求其数值解的方法进行仿真.结论表明,该算法在对期望轨迹的跟踪中,很少出现一些不稳定的情况,其在收敛的有效性方面相对于开环更具优势.

关 键 词:闭环P型迭代学习控制  线性时变系统  收敛性  线性系统  闭环  迭代  学习算法  仿真分析  Linear  System  Iterative  Algorithm  Type  Analysis  优势  开环  有效性  收敛  情况  不稳定  跟踪  期望轨迹  龙格库塔方法  数值解  常数
文章编号:1006-1576(2006)04-0075-02
收稿时间:2005-09-30
修稿时间:2005-11-29

Simulation Analysis on P Type Close-Loop Iterative Algorithm of Linear System
XIAO Yang,ZHU Fang-lai.Simulation Analysis on P Type Close-Loop Iterative Algorithm of Linear System[J].Ordnance Industry Automation,2006,25(4):75-76.
Authors:XIAO Yang  ZHU Fang-lai
Affiliation:Dept. of Computer, Guiling Electronic Industrial College, Guilin 541004, China
Abstract:Linear p type close-loop iterative algorithm, the fourth order Runge-Kutta method was used in one LTI system. The sequence value was achieved at first; then, the new created parameter value and close-loop learning rule were adopted to corresponding constant sequence. The constant sequence was iterative to stimulate by using numerical value solving method. The result showed that this method is stable in expectant tracking and it is better than open-loop in astringency.
Keywords:P type close-loop iterative learning control  Time invariant linear system  Astringency
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