Introduction
Process models in the problems of advanced automatic control, diagnostics or design and investigation of alternative solutions are the grounds for the implementation of intended aims. This chapter is devoted in general to the creation of the investigated process model in a form that would be useful for the conducted investigations or designs. It could be implemented by modeling or identification. Taking into account practical requirements of the diagnostic system designed for more or less complex processes, analytical, fuzzy, neural and nero-fuzzy models are considered.
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© 2010 Springer-Verlag Berlin Heidelberg
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Janiszowski, K., Korbicz, J., Patan, K., Witczak, M. (2010). Process Modeling. In: Korbicz, J., Kościelny, J.M. (eds) Modeling, Diagnostics and Process Control. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16653-2_3
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DOI: https://doi.org/10.1007/978-3-642-16653-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16652-5
Online ISBN: 978-3-642-16653-2
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