Stable indirect fuzzy adaptive control.
type: Item
instance of: scholarly article
title: Stable indirect fuzzy adaptive control.
zbMATH Open document ID: 1037.93053
DOI: 10.1016/S0165-0114(02)00279-8
author: N. Golea
author: A. Golea
author: Khier Benmahammed
published in: Fuzzy Sets and Systems
publication date: 2003-08-07T00:00:00Z
review text: This paper proposes a stable indirect fuzzy adaptive control for MIMO (multi-input multi-output) continuous-time nonlinear systems. A TS (Takagi-Sugeno) fuzzy model-based observer is developed to approximate the nonlinear plant dynamic and estimate its state variables. This adaptive scheme presents the advantages that qualitative and analytic information about the plant operating can be used to design the fuzzy model rules and few rules (i.e. parameters) are to be tuned, which allows fast control update. This is a limiting factor for some applications. The proposed adaptive scheme achieves asymptotic tracking of a stable reference model, and the tracking and observation errors are shown to converge asymptotically to zero. The performance of this approach is evaluated on a two-link robot model.
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 1961830
zbMATH Keywords: fuzzy control
zbMATH Keywords: fuzzy systems model
zbMATH Keywords: adaptive control
zbMATH Keywords: observer
zbMATH Keywords: nonlinear systems
zbMATH Keywords: tracking
reviewed by: George S. Stavrakakis
MaRDI profile type: Publication
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full work available at URL: s0165-0114(02)00279-8
OpenAlex ID: W2023331784
description: scientific article; zbMATH DE number 1961830