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Industrial Automatic Control Systems and Controllers

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Application of the Regularization Method to Ensure the Sustainability оf a Regulation System with Neurocontroller
Frolov S.V., Frolova T.A., Somov P.T.

The problem of sustainability of controllers that are based on neural network (multilayer perceptron) is viewed. To ensure the sustainability of automatic regulation system and neurocontroller the regulation problemshould be posed properly with the help of the regularization method. Numerical experiments that are shown prove the effectiveness of the automatic regulation system with neurocontroller. The regularization method is used. Keywords: neurocontroller, regulation objects, system of multilinked regulation, sustainability of a regulation object, regularization method. E-mail: sergej.frolov@gmail.com. Pp. 54-58.

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