Frequency domain analysis and design of an iterative learning controller under modeling uncertainties

Author

Roh, Cheol Lae ; Chung, Myung Jin

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

1

fYear

1995

fDate

21-23 Jun 1995

Firstpage

452

Abstract

In this note, we study a design method of an iterative learning controller under modeling uncertainties. A new convergence condition of the iterative learning controller is obtained by strictly positive real (SPR) property. And by incorporating the robust SPR property, the robust convergence condition is derived. An efficient design method guaranteeing the robust convergence is proposed for an uncertain linear system having the structured uncertainty

Keywords

control system analysis; control system synthesis; frequency-domain analysis; frequency-domain synthesis; iterative methods; learning systems; stability; transfer functions; uncertain systems; efficient design method; frequency-domain analysis; frequency-domain design; iterative learning controller; modeling uncertainties; robust SPR property; robust convergence condition; strictly positive real property; structured uncertainty; uncertain linear system; Convergence; Design methodology; Error correction; Filters; Frequency domain analysis; Iterative methods; Robust control; Robustness; Transfer functions; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.529288

Filename

529288