Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/71264
Author(s): Hugo Alonso
Teresa Mendonça
Paula Rocha
Title: A contribution to the use of Hopfield neural networks for paramater estimation
Issue Date: 2007
Abstract: This paper presents a contribution to the use of Hopfield neural networks (HNNs) for parameter estimation. Our focus is on time-invariant systems that are linear in the parameters. We introduce a suitable HNN and present a weaker condition than the currently existing ones that guarantees the convergence of the parameterization estimated by the network to the actual parameterization. The application of our results is illustrated in a parameter estimation problem for a two carts system.
Subject: Outras ciências da engenharia e tecnologias
Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://hdl.handle.net/10216/71264
Source: Proceedings of the European Control Conference ECC 2007
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
60433.pdf535.69 kBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons