Fuzzy Iterative Learning Control in 2-D systems

被引：0
|
作者：
Argha, A. [2 ]
Karimaghaee, P. [2 ]
Roopaei, M. [1 ]
Jahromi, M. Zolghadri [1 ]
机构：
[1] Shiraz Univ, Dept Comp Sci & Engn, Post Box 71955-177, Shiraz, Iran
[2] Shiraz Univ, Dept Elect Engn, Shiraz, Iran
来源：
WORLD CONGRESS ON ENGINEERING 2008, VOLS I-II | 2008年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we discuss the application of Iterative Learning Control (ILC) algorithms in two dimensional problems. We propose five new algorithms for control of 2-D systems. In all of these algorithms, the control signal is calculated based on control signal at last iteration plus a corrective term. The difference between various algorithms presented is the way the mentioned corrective term is calculated. The performance of various algorithms was assessed in simulation environment. The results of simulations show that our proposed Fuzzy Iterative Learning Control (FILC) can reduce the trajectory error in far less number of iterations. This can be due to the fact that FILC is providing a nonlinear mapping while all others are linear.
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页码：58 / +
页数：2
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