Modeling and Control of Human Motor System with Generalized Predictive Control

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