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Classification of Random Processes in Industrial Control Systems

Need of random processes' classification in industrial control systems is considered. Informative signs and existent methods for the classification are analyzed. The new approach suggested. According to a process type (stationary or non-stationary), process kind (additive, multiplicative or additive-multiplicative) and a deterministic constituent's kind are classification signs. A single realization-based algorithm for classification of random processes is proposed. It implies application of non-parametric criteria, Hurst item, and fuzzy logic.