Nonlinear systems modeling via fuzzy logic rules
type: Item
instance of: scholarly article
zbMATH Open document ID: 0966.93036
publication date: 2001-08-01T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93A30
zbMATH DE Number: 1578373
zbMATH Keywords: fuzzy models
zbMATH Keywords: system identification
zbMATH Keywords: nonlinear systems
zbMATH Keywords: recursive fuzzy clustering
MaRDI profile type: Publication
author: Hongwei Wang
author: Guangfu Ma
title: Nonlinear systems modeling via fuzzy logic rules
published in: Control Theory \& Applications
review text: The authors propose a method for multi-input single-output systems to update on-line a fuzzy model by recursive updating of the cluster. Moreover, an identification algorithm suitable for on-line parameter estimation of nonlinear systems is presented. Two examples demonstrate the usefulness of the proposed method.
reviewed by: Inge Troch
description: scientific article