Optimal Time Allocation of Point-to-Point Iterative Learning Control with Specified Output Tracking

被引：0
|
作者：
Zhao, Xingding [1 ]
Wang, Youqing [1 ,2 ]
机构：
[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100190, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS) | 2018年
关键词：
iterative learning control; tracking-time allocation; output tracking; point-to-point; ALGORITHMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper studies the optimal time allocation of point-to-point (P2P) iterative learning control (ILC) when tracking selected elements or linear combinations of elements in the outputs. The optimization framework of the problem is a two-stage design algorithm, which is addressed by integrating norm-optimal ILC and the gradient method. To test the performance of the proposed algorithm, we report the results of our simulation test using a gantry robot.
引用
收藏
页码：390 / 395
页数：6
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