Abstract
The paper presents a new method to create model of nonlinear dynamic systems which gives a real opportunity for the interpretation of accumulated knowledge. By combining methods of control theory with fuzzy logic rules a good accuracy of the model can be achieved with use of a small number of fuzzy rules.
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Przybył, A., Cpałka, K. (2012). A New Method to Construct of Interpretable Models of Dynamic Systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_82
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DOI: https://doi.org/10.1007/978-3-642-29350-4_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29349-8
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