Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models

European Journal of Control

Volumn 15, Issue 1, 2009, Pages 29-44

  Selmic, Rastko R ^a   Polycarpou, Marios M ^b   Parisini, Thomas ^c  

^a LOUISIANA TECH UNIVERSITY   (United States)

^b UNIVERSITY OF CYPRUS   (Cyprus)

^c UNIVERSITY OF TRIESTE   (Italy)

Author keywords

Actuator; Fault detection; Neural networks; Nonlinear systems

Indexed keywords

ACTUATORS; FAULT DETECTION; NONLINEAR SYSTEMS; STATE FEEDBACK;

ACTUATOR FAULT; ACTUATOR FAULT DETECTION; APPROXIMATION MODELING; CONDITION; DETECTABILITY; FAULT DYNAMICS; FAULTS DETECTION; NEURAL-NETWORKS; NONLINEAR UNCERTAIN SYSTEMS; UNKNOWN INPUTS;

NEURAL NETWORKS;

EID: 77954892378     PISSN: 09473580     EISSN: None     Source Type: Journal    
DOI: 10.3166/ejc.15.29-44     Document Type: Article

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