Adaptive fuzzy control of MIMO nonlinear systems
type: Item
instance of: scholarly article
title: Adaptive fuzzy control of MIMO nonlinear systems
zbMATH Open document ID: 0960.93024
DOI: 10.1016/S0165-0114(98)00394-7
author: Huaguang Zhang
author: Zeungnam Bien
published in: Fuzzy Sets and Systems
publication date: 2001-05-03T00:00:00Z
review text: The authors start from the basis vector based linearized adaptive control model for nonlinear systems. What they add to the basis vector is a perturbation term. And this perturbation term is supposed to be determined e.g. via a system of linguistic control rules. For the generalized, multidimensional adaptive control system the problems of robustness and of asymptotic error convergence are considered.
reviewed by: Siegfried J. Gottwald
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C35
Mathematics Subject Classification ID: 93C73
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 1545741
zbMATH Keywords: fuzzy control
zbMATH Keywords: adaptive control
zbMATH Keywords: stability analysis
zbMATH Keywords: fuzzy perturbation
zbMATH Keywords: linear adaptive control
zbMATH Keywords: nonlinear systems
zbMATH Keywords: robustness
zbMATH Keywords: error convergence
MaRDI profile type: Publication
cites work: A TECHNIQUE FOR HANDLING FUZZY DECISION-MAKING PROBLEMS CONCERNING TWO KINDS OF UNCERTAINTY
cites work: Nonlinear control systems: An introduction
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cites work: INPUT/OUTPUT LINEARIZATION FOR NONLINEAR SYSTEMS WITH UNCERTAINTIES AND DISTURBANCES USING TDC
full work available at URL: s0165-0114(98)00394-7
OpenAlex ID: W1982470755
description: scientific article; zbMATH DE number 1545741