Neural Network Control Approach for an Industrial Furnace

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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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 languageEnglish
Title of host publicationArtificial Neural Nets and Genetic Algorithms
EditorsDavid W. Pearson, Nigel C. Steele, Rudolf F. Albrecht
PublisherSpringer Verlag
Pages121-125
Number of pages5
ISBN (Print)978-3-211-00743-3
DOIs
Publication statusPublished - 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

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  • Cite this

    Martineau, S., Gaura, E., Burnham, K. J., & Haas, O. C. L. (2003). Neural Network Control Approach for an Industrial Furnace. In D. W. Pearson, N. C. Steele, & R. F. Albrecht (Eds.), Artificial Neural Nets and Genetic Algorithms (pp. 121-125). Springer Verlag. https://doi.org/10.1007/978-3-7091-0646-4_23