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.
Autonomous neural control in flexible space structures
Automatische Fehlerdiagnose und Regelung flexibler Weltraumobjekte unter Verwendung von neuronalen Netzen
Control Engineering Practice ; 3 , 4 ; 471-483
1995
13 Seiten, 14 Bilder, 2 Tabellen, 33 Quellen
Aufsatz (Zeitschrift)
Englisch
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