Abstract
The paper presents the task of creating an intelligent system of adaptive management of the production facility. Neuro-fuzzy network is proposed for the adaptation of the traditional PI-controllers in the regulation of steam temperature. Is proposed f new three-level structure of the intellectual system of adaptive control with predictor of quality of the transition process. Simulation of intelligent system implemented by using neuro-fuzzy network for example boiler steam temperature under parametric perturbations showed successful results.
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Mikhailenko, V.S., Solodovnik, M.S. (2015). Statement of the Synthesis Problem of the Intellectual System of Adaptive Management. In: Gil-Lafuente, A., Zopounidis, C. (eds) Decision Making and Knowledge Decision Support Systems. Lecture Notes in Economics and Mathematical Systems, vol 675. Springer, Cham. https://doi.org/10.1007/978-3-319-03907-7_16
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DOI: https://doi.org/10.1007/978-3-319-03907-7_16
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