The present paper proposes the use of a hybrid connections system as a learning controller with reconfiguration capability. Embedded with adjustable time-delays, an adaptive radial basis function network offers an effective modelling technique to capture most of the spatiotemporal interactions among the structure members. A fuzzy-based fault diagnosis system is applied for health monitoring to provide the neural controller with various failure scenarios. Associative memory is incorporated to compensate for catastrophic changes of structural parameters by providing a continuous solution space of acceptable controller configurations. The theoretical foundation of architecture is presented and its applicability is demonstrated via specific examples.


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    Title :

    Autonomous neural control in flexible space structures


    Additional title:

    Automatische Fehlerdiagnose und Regelung flexibler Weltraumobjekte unter Verwendung von neuronalen Netzen


    Contributors:
    Yen, G.G. (author)

    Published in:

    Publication date :

    1995


    Size :

    13 Seiten, 14 Bilder, 2 Tabellen, 33 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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