Nonlinear systems parameter estimation using neural networks: Application to synchronous machines

Mathematical and Computer Modelling of Dynamical Systems

Volumn 13, Issue 4, 2007, Pages 365-382

  Ahmed Ali, Tarek ^a   Kenné, Godpromesse ^c   Lamnabhi Lagarrigue, Françoise ^b  

^a ENSIETA   (France)

^b UNIV PARIS SUD   (France)

^c UNIVERSITÉ DE DSCHANG   (Cameroon)

Author keywords

Learning algorithms; Radial basis function; State parameter estimation; Synchronous machine; Time varying parameter

Indexed keywords

PERSISTENT EXCITATION CONDITIONS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SLIDING MODE OBSERVERS; STATE AND PARAMETER ESTIMATIONS; STATE/PARAMETER ESTIMATIONS; SYNCHRONOUS MACHINE; TIME VARYING PARAMETER;

ESTIMATION; LEARNING ALGORITHMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; SLIDING MODE CONTROL; STATORS;

SYNCHRONOUS MACHINERY;

EID: 34547957449     PISSN: 13873954     EISSN: 17445051     Source Type: Journal    
DOI: 10.1080/13873950600913787     Document Type: Article

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