Model and neural control of leg cycling movement

作者：Zhang D G^*; Zhu K Y

来源：International Journal of Modelling, Identification and Control, 2007, 2(4): 291-304.

DOI：10.1504/IJMIC.2007.016412

• Adaptivity
• Artificial control
• Artificial Neural Network
• Bio-mimetic
• Biological cybernetics
• Biomechanical systems
• Central pattern generator
• CPG
• Cycling
• Cycling movement
• Impedance controllers
• Lower limbs
• Musculoskeletal modelling
• Neural control
• Neural control system
• Neural network
• Neural systems
• RBF
• Rehabilitation engineering
• Robot designs
• Simulation studies

This paper proposes a neural control system for the leg cycling movement control. This system combines biological cybernetics and artificial control techniques together, which includes Central Pattern Generator (CPG), Artificial Neural Network (ANN) and impedance controller. Moreover, sensory feedback is incorporated to provide adaptivity and enhance feedback performance for the control system. A musculoskeletal model of lower limbs with 18 muscles and 6 bones is developed for simulation study. This system is not only suitable for the study of neural system and biomechanical system, it also has the potential for biomimetic robot design and rehabilitation engineering in future. ? 2007, Inderscience Publishers.

• 出版日期2007
• 单位Nanyang Technological University, Singapore; Nanyang Technological University(Singapore); NanYang Technological University, Singapore