Nonlinear systems parameters estimation using radial basis function network

Control Engineering Practice

Volumn 14, Issue 7, 2006, Pages 819-832

  Kenné, Godpromesse ^a,b   Ahmed Ali, T ^c   Lamnabhi Lagarrigue, F ^a   Nkwawo, Homere ^d  

^a SUPELEC   (France)

^b UNIVERSITÉ DE DSCHANG   (Cameroon)

^c ENSIETA   (France)

^d UNIVERSITÉ PARIS 13   (France)

Author keywords

Fault detection; High gain observer; Induction motors; Learning algorithms; Radial basis function; Real time implementation; State parameter estimation; Time varying parameter

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; FAILURE ANALYSIS; INDUCTION MOTORS; LEARNING ALGORITHMS; LYAPUNOV METHODS; OBSERVABILITY; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; STATE ESTIMATION; VARIABLE SPEED DRIVES;

FAULT DETECTION; HIGH GAIN OBSERVER; REAL-TIME IMPLEMENTATION; TIME VARYING PARAMETER;

NONLINEAR CONTROL SYSTEMS;

CONVERGENCE OF NUMERICAL METHODS; FAILURE ANALYSIS; INDUCTION MOTORS; LEARNING ALGORITHMS; LYAPUNOV METHODS; NONLINEAR CONTROL SYSTEMS; OBSERVABILITY; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; STATE ESTIMATION; VARIABLE SPEED DRIVES;

EID: 33644766881     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2005.04.002     Document Type: Article

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