Separable least squares identification of nonlinear Hammerstein models: Application to stretch reflex dynamics

Annals of Biomedical Engineering

Volumn 29, Issue 8, 2001, Pages 707-718

  Westwick, D T ^a   Kearney, R E ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Levenberg Marquardt algorithm; Mean squared optimization; Nonlinear system identification; Separable least squares; Stretch reflex dynamics

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; POLYNOMIALS; REGRESSION ANALYSIS;

LEVENBERG-MARQUARDT ALGORITHM; MEAN SQUARED OPTIMIZATION; NONLINEAR SYSTEM IDENTIFICATION; SEPARABLE LEAST SQUARES; STRETCH REFLEX DYNAMICS;

ELECTROMYOGRAPHY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOMEDICAL ENGINEERING; CASE CONTROL STUDY; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMAN; MYOTATIC REFLEX; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; SPINAL CORD INJURY;

ALGORITHMS; BIOMEDICAL ENGINEERING; CASE-CONTROL STUDIES; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMANS; LEAST-SQUARES ANALYSIS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; REFLEX, STRETCH; SPINAL CORD INJURIES;

EID: 0034741652     PISSN: 00906964     EISSN: None     Source Type: Journal    
DOI: 10.1114/1.1385806     Document Type: Article

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