Online learning neural architectures and cross-correlation analysis for actuator failure detection and identification

This paper describes a study related to the testing and validation of a neural-network based approach for the problem of actuator failure detection and identification following battle damage to an aircraft control surface. Online learning neural architectures, trained with the Extended Back-Propagat...

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Veröffentlicht in:	International journal of control 1996-02, Vol.63 (3), p.433-455
Hauptverfasser:	NAPOLITANO, MARCELLO R., CASDORPH, VAN, NEPPACH, CHARLES, NAYLOR, STEVE, INNOCENTI, MARIO, SILVESTRI, GIOVANNI
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology
Online-Zugang:	Volltext
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