Neural Network Control Approach for an Industrial Furnace

S. Martineau; Elena Gaura; Keith J. Burnham; Olivier C.L. Haas

doi:10.1007/978-3-7091-0646-4_23

Neural Network Control Approach for an Industrial Furnace

S. Martineau, Elena Gaura, Keith J. Burnham, Olivier C.L. Haas

College of Engineering, Environment & Science

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

The paper describes aspects of an on-going research programme in collaboration with AvestaPolarit (UK) Ltd, Sheffield, Corus Group plc, Rotherham and Eurotherm, Worthing. The work presented here involves the design and development of a neural network control strategy for continuously operated high temperature gas-fired industrial furnaces. At present, a bilinear control strategy is already applied routinely to the furnace. The results in this paper present the development of different neural network controllers compared to the bilinear controller.

Original language	English
Title of host publication	Artificial Neural Nets and Genetic Algorithms
Editors	David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht
Publisher	Springer Verlag
Pages	121-125
Number of pages	5
ISBN (Print)	978-3-211-00743-3
DOIs	https://doi.org/10.1007/978-3-7091-0646-4_23
Publication status	Published - 2003

Bibliographical note

This conference paper is not available in the repository. The paper was given at the International Conference in Roanne, France, 2003

Keywords

Artificial Intelligence (incl. Robotics)
Complexity

Access to Document

10.1007/978-3-7091-0646-4_23

Cite this

@inproceedings{50443a14e236415991198325d909008f,

title = "Neural Network Control Approach for an Industrial Furnace",

abstract = "The paper describes aspects of an on-going research programme in collaboration with AvestaPolarit (UK) Ltd, Sheffield, Corus Group plc, Rotherham and Eurotherm, Worthing. The work presented here involves the design and development of a neural network control strategy for continuously operated high temperature gas-fired industrial furnaces. At present, a bilinear control strategy is already applied routinely to the furnace. The results in this paper present the development of different neural network controllers compared to the bilinear controller.",

keywords = "Artificial Intelligence (incl. Robotics), Complexity",

author = "S. Martineau and Elena Gaura and Burnham, \{Keith J.\} and Haas, \{Olivier C.L.\}",

note = "This conference paper is not available in the repository. The paper was given at the International Conference in Roanne, France, 2003",

year = "2003",

doi = "10.1007/978-3-7091-0646-4\_23",

language = "English",

isbn = "978-3-211-00743-3",

pages = "121--125",

editor = "Pearson, \{David W.\} and Steele, \{Nigel C.\} and Albrecht, \{Rudolf F.\}",

booktitle = "Artificial Neural Nets and Genetic Algorithms",

publisher = "Springer Verlag",

address = "Austria",

}

TY - GEN

T1 - Neural Network Control Approach for an Industrial Furnace

AU - Martineau, S.

AU - Gaura, Elena

AU - Burnham, Keith J.

AU - Haas, Olivier C.L.

N1 - This conference paper is not available in the repository. The paper was given at the International Conference in Roanne, France, 2003

PY - 2003

Y1 - 2003

N2 - The paper describes aspects of an on-going research programme in collaboration with AvestaPolarit (UK) Ltd, Sheffield, Corus Group plc, Rotherham and Eurotherm, Worthing. The work presented here involves the design and development of a neural network control strategy for continuously operated high temperature gas-fired industrial furnaces. At present, a bilinear control strategy is already applied routinely to the furnace. The results in this paper present the development of different neural network controllers compared to the bilinear controller.

AB - The paper describes aspects of an on-going research programme in collaboration with AvestaPolarit (UK) Ltd, Sheffield, Corus Group plc, Rotherham and Eurotherm, Worthing. The work presented here involves the design and development of a neural network control strategy for continuously operated high temperature gas-fired industrial furnaces. At present, a bilinear control strategy is already applied routinely to the furnace. The results in this paper present the development of different neural network controllers compared to the bilinear controller.

KW - Artificial Intelligence (incl. Robotics)

KW - Complexity

U2 - 10.1007/978-3-7091-0646-4_23

DO - 10.1007/978-3-7091-0646-4_23

M3 - Conference proceeding

SN - 978-3-211-00743-3

SP - 121

EP - 125

BT - Artificial Neural Nets and Genetic Algorithms

A2 - Pearson, David W.

A2 - Steele, Nigel C.

A2 - Albrecht, Rudolf F.

PB - Springer Verlag

ER -

Neural Network Control Approach for an Industrial Furnace

Abstract

Bibliographical note

Keywords

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Cite this