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    A Study of Adaptive Neural Network Control System

    A Study of Adaptive Neural Network Control System


    Abstract In a hydraulic support system of heavy equipment, the oil pressure is required to be a constant value. Due to the disturbances come from the external environment and the running process, the hydraulic support system would not be stable; therefore, we here present a closed-loop feedback system, which has an adaptive neuronal network control system to make the oil pressure stable by controlling the rotate speed of the hydraulic pump motor. In this hydraulic system, the response and stability are the key factors to judge the control method is good or not. In our simulation, it shows that this adaptive neural network control system can meet the design requirements. It has good response and stability characteristics.

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    Titel :

    A Study of Adaptive Neural Network Control System

    Beteiligte:
    Zhong, Heng (Autor:in) / Li, Dingyuan (Autor:in) / Tu, Kun (Autor:in)
    Erschienen in:

    Computational Intelligence, Networked Systems and Their Applications ; 1 ; 9-17

    Communications in Computer and Information Science ; 462 , 1

    Erscheinungsdatum :

    2014-01-01

    Format / Umfang :

    9 pages

    ISBN :

    978-3-662-45261-5 , 978-3-662-45260-8

    ISSN :

    1865-0929 , 1865-0937

    DOI :

    https://doi.org/10.1007/978-3-662-45261-5_2

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Neural Network , Steepest-descent Method Computer Science , Artificial Intelligence (incl. Robotics) , Computational Intelligence , Computer Imaging, Vision, Pattern Recognition and Graphics , Simulation and Modeling , System Performance and Evaluation

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