Title :
Stability analysis of decentralized motor control
Author :
Miyamura, Aiko ; Aihara, Kazuyuki
Author_Institution :
Dept. of Complexity Sci. & Eng., Univ. of Tokyo, Japan
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;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1224078
