DocumentCode :
2755924
Title :
Modeling and Control of Human Motor System with Generalized Predictive Control
Author :
Lan, L. ; Zhu, K.Y. ; Zhang, D.G.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
fYear :
2006
fDate :
Dec. 2006
Firstpage :
1
Lastpage :
7
Abstract :
Many patients suffer from the spinal cord diseases, a proper modeling and control of human motor system will help to improve the prognosis of them. This paper presents an integrated model to describe the static and dynamic characters of spinal neuro-musculoskeletal system based on the currently accepted theories and hypothesis in biological motor control. Then a new control system with generalized predictive control and neural network is designed to control the former model
Keywords :
biocontrol; neurocontrollers; neuromuscular stimulation; predictive control; biological motor control; generalized predictive control; human motor system control; neural network; patient prognosis; spinal cord diseases; spinal neuro-musculoskeletal system; Biological neural networks; Biological system modeling; Control system synthesis; Control systems; Degenerative diseases; Humans; Muscles; Predictive control; Predictive models; Spinal cord; Generalized Predictive Control; Motor control; Neural network; Spinal neuro-musculoskeletal system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0024-4
Electronic_ISBN :
1-4244-0025-2
Type :
conf
DOI :
10.1109/RAMECH.2006.252632
Filename :
4018748
Link To Document :
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