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Synthesis of adaptive systems for control of dynamic objects on the basis of the neural network


V.E. Bolnokin, Phan Thanh Tung, Nguyen Quang Hieu, Bui Thanh Nam

The present work is devoted to a problem of management by nonlinear dynamic objects with the incomplete mathematical description. The method of synthesis adaptive Neural networks is considered on the basis of application of some positions of a method of analytical designing. The law of adaptation is defined on a condition of maintenance of stability of the closed system with the help of the second method of Lyapunov.

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