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Intelligent systems for optimisation and control

K.J. Burnham (Control Theory and Applications Centre, Coventry University, UK)
O.C.L. Haas (Control Theory and Applications Centre, Coventry University, UK)
D.J.G. James (Control Theory and Applications Centre, Coventry University, UK)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 July 2000

Abstract

By considering a number of practical case study examples, the paper highlights some of the design methods of intelligent systems for use in optimisation and control. The paper describes tools and approaches that are used as well as the systems to which they are applied. The approaches include fuzzy logic decision making for optimal start‐up of combined cycle power plant, control and modelling within an automotive air fuel ratio application and optimisation of intensity modulated radiation therapy treatment. These diverse application areas have much in common in regard to the problem‐solving approaches; in recognition of this, generic aspects of the use of intelligent methodologies are also highlighted.

Keywords

Citation

Burnham, K.J., Haas, O.C.L. and James, D.J.G. (2000), "Intelligent systems for optimisation and control", Kybernetes, Vol. 29 No. 5/6, pp. 716-733. https://doi.org/10.1108/03684920010333152

Publisher

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MCB UP Ltd

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