Identification of nonlinear dynamic objects by pattern recognition methods
type: Item
instance of: scholarly article
title: Identification of nonlinear dynamic objects by pattern recognition methods
zbMATH Open document ID: 0571.93063
author: B. George
published in: Automation and Remote Control
publication date: 1984-01-01T00:00:00Z
review text: A new method of identifying nonlinear dynamical objects based on pattern recognition methods is discussed. Identified objects are described by a functional Volterra series. The relative semiinvariants are used as features. To choose the optimal model a nearest neighbor algorithm is used with Euclidean distance measure. The asymptotic properties of mutual relative semiinvariants are derived and a computational experiment in the identification of typical nonlinear systems is given.
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93E25
zbMATH DE Number: 3912248
zbMATH Keywords: nonlinear dynamical objects
zbMATH Keywords: pattern recognition
zbMATH Keywords: functional Volterra series
zbMATH Keywords: relative semiinvariants
zbMATH Keywords: nearest neighbor algorithm
zbMATH Keywords: identification
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 3912248