3 . the application of iterative learning control under the condition of zero initial error 零初始误差条件下迭代学习控制在机器人中的应用。
2.
Different kinds of iterative learning control algorithms under the condition of zero initial error and the non - zero error have been introduced 主要介绍了零初始误差条件下和非零初始误差条件下的迭代学习控制算法。
3.
The fundamental solution of the mixed problem with the third kind homogeneous boundary condition and that with the zero initial condition are given respectively 分别给出具有第三类齐次边条件的混合问题基本解以及具有零初始条件的混合问题基本解。
4.
The application of iterative learning control under the condition of non - zero initial error . novel d - type and pd - type iterative learning control algorithms . proofs of convergence and their application in robot are presented 主要介绍了在非零初始误差条件下d型改进型迭代学习控制算法和pd型改进型迭代学习控制算法、收敛性分析及其在机器人中的应用。
5.
This paper presents the application of iterative learning control in robot . iterative learning control algorithms have been designed under the condition of zero initial error and non - zero initial error . the convergence of the algorithms has been proved using the lyapunov stability theory 本文主要研究了迭代学习控制在机器人中的应用,并分别在零初始误差条件下和非零初始误差条件下设计了迭代学习控制算法,并采用lyapunov稳定性理论证明了算法的收敛性,最后将迭代学习控制算法应用于机器人中进行了仿真研究。