Title :
On iterative learning control
Author :
Sugie, Toshiharu
Author_Institution :
Dept. of Syst. Sci., Kyoto Univ., Japan
Abstract :
We describe a new type of iterative learning control (ILC) which seeks the desired input in an appropriate finite dimensional input subspace. The method achieves perfect tracking for a class of uncertain systems without using time derivative of tracking error signals in the learning law. Its effectiveness is demonstrated by experiments. In addition, an application of the ILC method to continuous-time model identification is shown.
Keywords :
continuous time systems; nonlinear systems; parameter estimation; uncertain systems; ILC method; continuous-time model identification; finite dimensional input subspace; iterative learning control; perfect tracking; time derivative; tracking error signal; uncertain system; Application software; Computer aided manufacturing; Computer errors; Control systems; Hardware; Informatics; Low pass filters; Manufacturing systems; Nonlinear systems; Uncertain systems;
Conference_Titel :
Informatics Research for Development of Knowledge Society Infrastructure, 2004. ICKS 2004. International Conference on
Print_ISBN :
0-7695-2150-9
DOI :
10.1109/ICKS.2004.1313427
