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    Neural network modelling of a boiler combustion system

    Molloy, B. and Ringwood, John (1993) Neural network modelling of a boiler combustion system. In: 3rd Irish Colloquium on DSP and Control, June 1993, Dublin.

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    Boiler combustion systems represent highly nonlinear systems with associated lags and delays which depend on operating point. Such systems represent a significant challenge to the control engineer. In this paper, we present a model typical of a medium-size industrial boiler, which highlights the difficulties associated with such systems. As a starting point for nonlinear control design, we demonstrate how a neural network may be used to obtain a concise functional description of the system, initially for fixed operating points and then for variation over the full range of operation.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Neural networks; modelling; boiler combustion system;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9555
    Depositing User: Professor John Ringwood
    Date Deposited: 14 Jun 2018 15:57
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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