DocumentCode
183719
Title
ℋ℞ based disturbance attenuation for iterative learning control
Author
Galkowski, Krzysztof ; Dabkowski, Pawel ; Rogers, Eric
Author_Institution
Inst. of Control & Comput. Eng., Univ. of Zielona Gora, Zielona Gora, Poland
fYear
2014
fDate
4-6 June 2014
Firstpage
4231
Lastpage
4236
Abstract
Previous research has shown that repetitive processes, a class of 2D systems, can be used to design linear model based iterative learning control laws for convergence and transient performance, with supporting experimental benchmarking. In many applications attenuation of disturbances acting on the plant signals will also be required. The new results in this paper are control law design algorithms for this problem with disturbance attenuation measured by an ℋ∞ norm.
Keywords
adaptive control; control system synthesis; convergence; iterative methods; learning systems; ℋ∞ based disturbance attenuation; 2D systems; control law design algorithms; convergence; experimental benchmarking; linear model based iterative learning control law design; repetitive processes; transient performance; Attenuation; Convergence; Process control; Robots; State-space methods; Symmetric matrices; Vectors; (Under)water vehicles; Control applications; LMIs;
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.2014.6858745
Filename
6858745
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