NDLI: Black and Gray-Box Identification of a Hydraulic Pumping System

Content Provider	IEEE Xplore Digital Library
Author	Barbosa, B.H.G. Aguirre, L.A. Martinez, C.B. Braga, A.P.
Copyright Year	1993
Abstract	The use of auxiliary information during the identification of nonlinear systems can be handled in different ways and at different levels. In this brief, static information of a 15 kW hydraulic pumping system is used as a priori knowledge in the parameters estimation of polynomial models which are compared to polynomial and neural models obtained by black-box techniques. The aim is to find models with good performance in both transient and steady-state regimes. This brief presents a novel bi-objective problem that uses free-run simulation and a new decision-maker. The optimization problem is solved using a genetic algorithm. Compared with other techniques, the proposed approach can lead to models with better dynamic and static performance.
Sponsorship	IEEE Control Systems Society
Starting Page	398
Ending Page	406
Page Count	9
File Size	681494
File Format	PDF
ISSN	10636536
Volume Number	19
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steady-state Parameter estimation Polynomials Nonlinear dynamical systems Automatic control Nonlinear systems Genetic algorithms Hydraulic systems Nonlinear equations Testing static function gray-box hydraulic system identification multi-objective nonlinear autoregressive with moving average and exogenous variables (NARMAX) simulation error
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering

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