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An improved approach to the design of hierarchical controls proposed here addresses a range of problems insurmountable for traditional quasi-linear approaches. The approach that is proposed in this paper further develops the theory by adding coordination capabilities to the features of synergetic control theory that have been previously described. As a result it allows the designer to enrich control...
A method of synthesis adaptive locally-optimum control with predicting model for electromechanical systems with casual parameters is presented in detail. Thus for decision of a problem to estimate the changing parameters the theory of multilayered artificial neural networks methods are involved. The method is verified on a two-mass electromechanical systems with casual parameters.
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