摘要
针对非线性系统提出了一种基于几何分析的改进迭代学习控制算法。该算法在控制律中引入了遗忘因子,对前一次控制输出和它的变化量进行弱化,增强迭代学习控制的鲁帮性。并对提出的算法做了一致收敛性分析。数值仿真结果验证了此算法的有效性。
An improved algorithm of iterative learning control based on geometric analysis is proposed for a nonlinear system. The algorithm employs a forgetting factor which weakens the former control output and its variance in the control law while strengthening the robustness of the iterative learning control. Then uniform convergence analysis is carried out for the proposed algorithm. The numerical simulation results illustrate the effectiveness of the proposed algorithm.
出处
《桂林电子科技大学学报》
2007年第6期461-464,共4页
Journal of Guilin University of Electronic Technology
基金
辽宁省教育厅科学研究计划资助(2004D031)
关键词
迭代学习控制
非线性系统
遗忘因子
一致收敛性
iterative learning control
nonlinear system
forgetting factor
uniform convergence
