Stability analysis for set-point-related indirect iterative learning control

Author

Wang, Youqing ; Doyle, Francis J., III

Author_Institution

Dept. of Chem. Eng., Univ. of California, Santa Barbara, CA, USA

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

5702

Lastpage

5707

Abstract

Acting as a supervision or optimization module for a local controller, indirect iterative learning control (ILC) can improve closed-loop performance along the batch direction. In particular, if the set-point for the local controller is updated, this type of indirect ILC is termed set-point-related (SPR) indirect ILC. SPR indirect ILC has shown excellent performance; however, there is no reported work on stability analysis for this method. Based on a 2-dimensional (2D) framework, a sufficient condition for asymptotical stability of SPR indirect ILC is derived in this paper.

Keywords

adaptive control; asymptotic stability; closed loop systems; iterative methods; learning systems; optimisation; 2D framework; asymptotical stability; closed-loop performance; local controller; optimization module; set-point-related indirect ILC; set-point-related indirect iterative learning control; stability analysis; supervision module; Asymptotic stability; Automatic control; Chemical engineering; Control systems; Humans; Robust control; Robust stability; Stability analysis; Sufficient conditions; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5400713

Filename

5400713