loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Armando Rivadeneyra Bardales 1 ; Danilo Soares Barboza 2 ; William Ipanaqué 1 and Martin Flores 1

Affiliations: 1 Universidad de Piura, Peru ; 2 Universidad de Santa Catarina, Brazil

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Modeling, Simulation and Architectures ; Neural Networks Based Control Systems ; Robotics and Automation

Abstract: Neural Network Model Based Predictive Control (MPC) has become a good choice of control strategy in many cases especially in the process industry because it could face non linearities and cross coupling variables [6], being modeling the first step to achieve this end. The model of a gasifier, provided by ALSTOM Power Technology Centre, is of an industrial standard and has been validated against a set of real data from test facilities. This makes the challenge all the more relevant to practicing engineers. The paper sets out the specifications and describes the design and performance of neural networks modeling and presents a neural network approach to model the ALSTOM Benchmark Challenge gasifier. This is a complex non-linear process, with a high degree of cross coupling of the variables, manual control is difficult.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.160.156

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rivadeneyra Bardales, A.; Soares Barboza, D.; Ipanaqué, W. and Flores, M. (2005). Neural Network Modeling for ALSTOM Gasifier. In Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP; ISBN 972-8865-36-8, SciTePress, pages 94-102. DOI: 10.5220/0001182600940102

@conference{anniip05,
author={Armando {Rivadeneyra Bardales}. and Danilo {Soares Barboza}. and William Ipanaqué. and Martin Flores.},
title={Neural Network Modeling for ALSTOM Gasifier},
booktitle={Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP},
year={2005},
pages={94-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001182600940102},
isbn={972-8865-36-8},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP
TI - Neural Network Modeling for ALSTOM Gasifier
SN - 972-8865-36-8
AU - Rivadeneyra Bardales, A.
AU - Soares Barboza, D.
AU - Ipanaqué, W.
AU - Flores, M.
PY - 2005
SP - 94
EP - 102
DO - 10.5220/0001182600940102
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic