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