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Prokhorenkov A.M., Kachala N.M.
Using of fuzzy logic methods for defining random processes' characteristics
Abstract. In the paper necessity of random processes' classification in industrial control systems have been considered. Informative signs and existent methods for the classification have been analyzed. The new approach has been suggested. According to it the process type (stationary or non-stationary), process kind (additive, multiplicative or additive-multiplicative) and deterministic constituent's kind are classification signs. A realization-based algorithm for the random processes' classification has been proposed. It implies application of non-parametric criteria, Hurst items, Bayesian classifying procedure and fuzzy logic.
Printed reference: Prokhorenkov A.M., Kachala N.M. Using of fuzzy logic methods for defining random processes' characteristics // Vestnik of MSTU. 2006. V. 9, No 3. P. -.
Electronic reference: Prokhorenkov A.M., Kachala N.M. Using of fuzzy logic methods for defining random processes' characteristics // Vestnik of MSTU. 2006. V. 9, No 3. P. -. URL: http://vestnik.mstu.edu.ru/v09_3_n23/articles/18_prokh.pdf.
