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.
|Title of host publication||Artificial Neural Nets and Genetic Algorithms|
|Editors||David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht|
|Number of pages||5|
|Publication status||Published - 2003|
Bibliographical noteThis conference paper is not available in the repository. The paper was given at the International Conference in Roanne, France, 2003
- Artificial Intelligence (incl. Robotics)
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