DocumentCode
1930278
Title
Stability analysis of decentralized motor control
Author
Miyamura, Aiko ; Aihara, Kazuyuki
Author_Institution
Dept. of Complexity Sci. & Eng., Univ. of Tokyo, Japan
Volume
4
fYear
2003
fDate
20-24 July 2003
Firstpage
3161
Abstract
We consider the decentralized motor control in units of motor units. This idea is motivated by the concept of Sherrington, so that "our movements are made with various spinal reflexes", which seems well-suited to the result in physiology and is, in some sense, to the point of understanding the functions or cerebellum motor control. We propose a decentralized version of feedback error learning method and analyze its stability. The efficiency of the proposed algorithm is shown by numerical simulations.
Keywords
biocontrol; brain; decentralised control; feedback; learning (artificial intelligence); neurophysiology; stability; cerebellum motor control; decentralized motor control; feedback error learning method; numerical simulations; spinal reflexes; stability analysis; Brain modeling; Control systems; Control theory; Feedback; Humans; Learning systems; Motor drives; Muscles; Sensor systems; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1224078
Filename
1224078
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