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Type: Congresso
Title: Mimo Arx-sdp Model Estimation Proposal And Application To A Hydraulic System
Author: Alegria
Elvis Jara; Bottura
Celso Pascoli
Abstract: This work deals with the ARX-SDP model estimation problem; it implies on discovering the state-parameter dependences. This model is always non-linear and cannot be solved by conventional methods. Young's proposal, based on a special data-reordering and on an iterative-recursive method, is modified considering a fixed and low forgetting factor and unitary regressors. A MIMO version of our proposal is also presented. A hydraulic application to four interconnected tanks shows the applicability of our proposal.
Editor: IEEE
New York
Citation: 2016 Ieee Conference On Control Applications (cca). Ieee, p. , 2016.
Rights: fechado
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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