Title
Open-Closed-Loop PD-Type Iterative Learning Control with Variable Gains.
Abstract
In this paper an open-closed-loop PD-type Iterative Learning Control (ILC) algorithm with variable learning gains is proposed. The learning gains are varying with the system errors or the iteration times. Thus it can eliminate the errors fast and reduce the overshoot. Therefore the capability of the target tracking is greatly improved. A rigorous proof of the sufficient condition for the algorithm is given, which shows the convergence of the tracking error.
Year
DOI
Venue
2011
10.1007/978-3-642-23324-1_95
ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT II
Keywords
Field
DocType
open-closed-loop ILC,variable gains
Convergence (routing),Control theory,Overshoot (signal),Generalization error,Iterative learning control,Mathematics,Tracking error
Conference
Volume
Issue
ISSN
215
PART 2
1865-0929
Citations 
PageRank 
References 
1
0.36
1
Authors
2
Name
Order
Citations
PageRank
Jianming Wei1335.38
YunAn Hu2176.91