Thumbnail
Access Restriction
Subscribed

Author Fujimoto, K. ♦ Sugie, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2002
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Optimal control ♦ Control systems ♦ Informatics ♦ Cost function ♦ Equations ♦ Control engineering ♦ Concrete ♦ Convergence ♦ Mechanical systems ♦ Hilbert space
Abstract This paper reviews a novel iterative learning scheme to achieve optimal control for physical systems. It is shown that the variational systems of a class of Hamiltonian systems have self-adjoint state-space realizations, that is, the variational system and its adjoint have the same state-space realizations. This implies that the input-output mapping of the adjoint of the variational system of a given Hamiltonian system can be calculated by only using the input-output mapping of the original system. This property is applied to adjoint based iterative learning control with optimal control type cost functions. The proposed method is expected to be a basis for new I/O based optimal control.
Description Author affiliation: Dept. of Syst. Sci., Kyoto Univ., Japan (Fujimoto, K.; Sugie, T.)
ISBN 0780376315
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2002-08-05
Publisher Place Japan
Rights Holder SICE
Size (in Bytes) 371.11 kB
Page Count 6
Starting Page 2573
Ending Page 2578


Source: IEEE Xplore Digital Library