DocumentCode :
2577850
Title :
Further results on feedback error learning control: Partially known plant and general response model
Author :
Sugimoto, Kenji ; Noguchi, Makoto
Author_Institution :
Grad Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Keihanna Science City, Japan
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
66
Lastpage :
71
Abstract :
Much attention has been paid recently to control-theoretic research on what is called feedback error learning (FEL). This paper provides yet another FEL control scheme, which generalizes existing ones in two points: i) It can treat a plant which is the product of known and unknown transfer matrices, and thereby reduces the number of parameters to be learned. ii) The response model is less restrictive, due to a general two-degree-of-freedom structure. Numerical simulation illustrates the effectiveness of the proposed scheme.
Keywords :
control system synthesis; feedback; learning (artificial intelligence); matrix algebra; neurocontrollers; FEL control scheme; feedback error learning control; general response model; numerical simulation; partially known plant; transfer matrices; Adaptation model; Biological system modeling; Control systems; Manipulator dynamics; Numerical simulation; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717775
Filename :
5717775
Link To Document :
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