No-reset iterative learning control

Author

Sison, Luis G. ; Chong, Edwin K P

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

3

fYear

1996

fDate

11-13 Dec 1996

Firstpage

3062

Abstract

In this paper, we study the repetitive control of discrete-time linear periodically time-varying (LPTV) plants using a no-reset iterative learning control (NRILC) system, which is an iterative learning control (ILC) system where the plant is not reset at the beginning of each iteration. We apply this scheme to discrete-time LTI SISO plants; the approach can be extended to LPTV and MIMO plants. Using results from output feedback theory, we show that the closed-loop eigenvalues of the system can almost always be placed with the selection of an appropriate finite learning gain

Keywords

closed loop systems; discrete time systems; eigenvalues and eigenfunctions; feedback; iterative methods; learning systems; linear systems; time-varying systems; SISO systems; closed-loop eigenvalues; discrete-time systems; finite learning gain; iterative learning control; linear time invariant systems; output feedback; periodically time-varying systems; repetitive control; Control systems; Eigenvalues and eigenfunctions; Equations; Feedback loop; Heuristic algorithms; MIMO; Output feedback; Radio control; Time varying systems; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.573592

Filename

573592