DocumentCode :
1129307
Title :
Feedback error learning control without recourse to positive realness
Author :
Muramatsu, Eiichi ; Watanabe, Keiji
Author_Institution :
Yamagata Univ., Japan
Volume :
49
Issue :
10
fYear :
2004
Firstpage :
1762
Lastpage :
1770
Abstract :
Feedback error learning (FEL) method has been proposed by Kawato et al. as a scheme of brain motor control in neurophysiology. Recently, Miyamura and Kimura have established a control theoretical validity of the FEL method in the framework of adaptive control and proved its stability based on the strictly positive realness. In this note, we propose another scheme for the feedback error learning method which does not require any positive real conditions.
Keywords :
adaptive control; feedback; feedforward; inverse problems; learning systems; neurocontrollers; neurophysiology; adaptive control; brain motor control; feedback error learning control; feedforward control; inverse model; neural network; neurophysiology; positive realness; Active filters; Circuits; Error correction; Feedback; Inverse problems; Neurofeedback; Pulse width modulation; Radio frequency; Stability; Voltage; Adaptive control; feedback error learning; two-degree-of-freedom control;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2004.835399
Filename :
1341573
Link To Document :
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