System Identification and Neuromuscular Modeling
作者： Robert E. Kearney , Robert F. Kirsch
DOI: 10.1007/978-1-4612-2104-3_9
关键词: Joint stiffness 、 Volterra kernel 、 Control engineering 、 System identification 、 Computer science 、 Wiener kernel 、 Control posture 、 Range (mathematics) 、 Term (time) 、 Functional expansion
摘要: “System identification” is a term that describes mathematical techniques used to infer the properties of an unknown system from measurements inputs and outputs. Typically, are controlled by experimenter, although only real requirements all outputs known measurable sufficiently excite system. System identification have been applied wide range problems, this chapter focuses on applications related neuromuscular (i.e., muscle, joint, limb mechanics) as well neural signals control posture movement.
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