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Документ Intellectual technology in modern control systems(2014) Mosijchuk, NataliaThe task of developing and implementing intellectual technologies in modem control objects activity is very actual and requires further development, as a number of issues still remain unresolved. Identification with fuzzy logic conclusion is one of the most effective methods for constructing models of nonlinear dependencies. Fuzzy models and algorithms for processing information allow to structure the data and to forecast the behaviour of the object in the future (for a certain period of time).Документ The subsystem of technological monitoring based on the methods of fuzzy logic(2013) Mosijchuk, NataliaWe formulated rules of fuzzy knowledge base and the resulting model of technological process that corresponds to the real object. This allows to increase the efficiency of the control systems in the food industry and to reduce the amount of not properly adopted decisions by the control of complex technological systems, which are include certain uncertainly and nonlinearity. Implementation of structural model process identification allows us to come much more closer to the real conditions of the object, to determine its current condition and to take effective solutions in control.