Author(s)

D. Williams, J.T. Evans, J.B. Gomm & P.J.G. Lisboa

Abstract

Application of an artificial neural network to on-line control of a process D. Williams," J.T. Evans," J.B. Gomm" & P.J.G. Lisboa& " Control Systems Research Group, School of Electrical and Electronic Engineering, Liverpool John Moores University, Byrom Street, Liverpool ^ Department of Electronic Engineering and Electronics, University of Liverpool, P. 0. Box ABSTRACT Although the development of linear control theory is well established, real industrial processes contain significant non-linearities that give limited credence to the optimal performance of controllers over a wide operational region. Consequently, the development of techniques that enable the design of a controller suitable for operation with a non-linear process would be beneficial. This paper describes the development and implementation of an on-line, one-step-ahead, optimal predictive controller incorporating a neural network model of the process. The scheme is based on a Multi-Layered Perceptron neu

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