NDLI: Neural mechanisms for control of multivariable, redundant, nonlinear musculoskeletal systems

Content Provider	IEEE Xplore Digital Library
Author	Neilson, P.D. Neilson, M.D.
Copyright Year	2001
Description	Author affiliation: Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia (Neilson, P.D.)
Abstract	Engineering control theory exists to design state feedback that can cancel the nonlinear dynamics of a square multivariable plant and reduce the input-output relationship to a decoupled system of time-delays. When this theory is applied to the human musculoskeletal system two major difficulties are encountered. First, the system is highly redundant; some 700 functional muscles control some 110 elemental movements. Second, the central nervous system (CNS) has limited processing resources; by definition each elemental movement can be activated independently one at a time, but limited CNS resources prevent control of more than a few degrees of freedom simultaneously. This paper builds on previous work concerning the role neural adaptive filter circuitry (in particular that of the cerebellum) in self-organizing adaptive sensory-motor control. It discusses implementation of a biologically realistic controller that overcomes the above problems to produce energy- and resource-efficient synergetic movement.
Sponsorship	IEEE Control Syst. Soc
Starting Page	13
Ending Page	14
File Size	195578
Page Count	2
File Format	PDF
ISBN	0780370619
DOI	10.1109/CDC.2001.980546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Design engineering Control theory State feedback Nonlinear dynamical systems Humans Musculoskeletal system Muscles Central nervous system Centralized control
Content Type	Text
Resource Type	Article

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