DocumentCode
306376
Title
Robust high-order P-type iterative learning control for a class of uncertain nonlinear systems
Author
Dou, Huifang ; Zhou, Zhaoying ; Sun, Mingxuan ; Chen, YangQuan
Author_Institution
Dept. of Precision Instrum., Tsinghua Univ., Beijing, China
Volume
2
fYear
1996
fDate
14-17 Oct 1996
Firstpage
923
Abstract
The high-order P-type iterative learning control (ILC) algorithm is proposed for a class of uncertain nonlinear systems performing repetitive tasks. Uniform bound of the tracking error is established as a function of uncertainty, disturbance, and initialization error. In the absence of uncertainty, disturbance, and initialization error, the tracking error approaches to zero as the number of learning iterations increases
Keywords
learning systems; nonlinear control systems; robust control; tracking; uncertain systems; disturbance; initialization error; repetitive tasks; robust high-order P-type iterative learning control; tracking error; uncertain nonlinear systems; uniform bound; Control systems; Error correction; Iterative algorithms; Mechanical systems; Noise robustness; Nonlinear control systems; Nonlinear systems; Robust control; Time varying systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.571183
Filename
571183
Link To Document