Design of iterative learning control algorithms by generalized KYP synthesis

Author

Paszke, Wojciech ; Rogers, Eric ; Galkowski, Krzysztof

Author_Institution

Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gόra, Poland

fYear

2014

fDate

4-6 June 2014

Firstpage

4249

Lastpage

4254

Abstract

This paper gives new results on the design of iterative learning control algorithms in the repetitive process setting for error convergence and regulation of the transient dynamics. The analysis makes use of the generalized Kalman-Yakubovich-Popov lemma to develop a design algorithm different performance specifications are imposed in one or more frequency ranges. Also these new results allow, if required for an application, the design of controllers with dynamics.

Keywords

adaptive control; control system analysis; control system synthesis; convergence; iterative methods; learning systems; design algorithm; error convergence; generalized KYP synthesis; generalized Kalman-Yakubovich-Popov lemma; iterative learning control algorithm design; repetitive process setting; transient dynamics; Algorithm design and analysis; Convergence; Frequency conversion; Heuristic algorithms; Linear matrix inequalities; Symmetric matrices; Vectors; Iterative learning control; Linear systems; Stability of linear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2014

Conference_Location

Portland, OR

ISSN

0743-1619

Print_ISBN

978-1-4799-3272-6

Type

conf

DOI

10.1109/ACC.2014.6858715

Filename

6858715