DocumentCode
3600128
Title
Adjoint-type iterative learning control for nonlinear nonminimum phase system - application to a planar model of a helicopter $
Author
Ogoshi, R. ; Sogo, T. ; Adachi, N.
Author_Institution
Kyoto Univ., Kyoto, Japan
Volume
3
fYear
2002
Firstpage
1547
Abstract
Iterative learning control (ILC) obtains a desired input that exactly generates the desired output through repetitions of the same tasks. In this paper, a numerical simulation of the adjoint-type ILC, which can obtain desired inputs even if the objective system is that of a nonminimum phase, is carried out for a planar model of a helicopter.
Keywords
aircraft control; helicopters; learning (artificial intelligence); ILC; helicopter; iterative learning control; nonlinear nonminimum phase system; planar model; Control systems; Current control; Error correction; Helicopters; Manipulators; Nonlinear control systems; Nonlinear systems; Numerical simulation; Robot control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1196538
Filename
1196538
Link To Document