DocumentCode
2883619
Title
The benefits of prediction in learning control algorithms
Author
Owens, David H.
Author_Institution
Sch. of Eng. & Comput. Sci., Exeter Univ., UK
fYear
1999
fDate
1999
Firstpage
42430
Lastpage
42432
Abstract
The emergence of intelligent control has seen a focus of attention on the ideas of learning control. This paper explores the relationship between the performance of learning algorithms and the structure of the system to be controlled. The importance of system´s relative degree (pole-zero excess) and the system´s zeros are described and the role of prediction in improving performance is demonstrated using ideas from iterative learning control
Keywords
learning systems; convergence; intelligent control; iterative learning control; learning control algorithms; output feedback; pole-zero excess; relative degree; stability; state feedback;
fLanguage
English
Publisher
iet
Conference_Titel
Model Predictive Control: Techniques and Applications - Day 1 (Ref. No. 1999/095), IEE Two-Day Workshop on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19990531
Filename
771929
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