Modeling and Identification of an Industrial Hot Water Boiler

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@InProceedings{Tarasevich:2020:TSP,

• author = "M. Tarasevich and A. Tepljakov and E. Petlenkov and V. Vansovits",
• title = "Modeling and Identification of an Industrial Hot Water Boiler",
• booktitle = "2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
• year = "2020",
• pages = "285--290",
• abstract = "One of the most important open issues in industrial automation is a nonlinear dynamical system identification. In the following paper, the grey and black box approaches are implemented for hot water boiler modeling and identification. First-principles approach is applied to the hot water boiler modeling, and symbolic regression is performed for identification of the same industrial process. Then, the implementation of both methods is described. The resulting models are validated and compared on the basis of performance metrics. Finally, the encountered problems in the realization of the methods are reviewed.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TSP49548.2020.9163503",
• month = jul,
• notes = "Also known as \cite{9163503}",

}

Genetic Programming entries for Maksimilian Tarasevich Aleksei Tepljakov Eduard Petlenkov Vitali Vansovits

Citations