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Volumn , Issue , 2003, Pages

Integration of fault tolerant system for sensor and actuator failures within the WVU NASA F-15 simulator

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; CONTROL THEORY; FAULT TOLERANCE; FLIGHT CONTROL SYSTEMS; NASA;

EID: 85088759022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2003-5644     Document Type: Conference Paper
Times cited : (22)

References (20)
  • 4
    • 0030086201 scopus 로고    scopus 로고
    • On-line Learning Neural Architectures and Cross- Correlation Analysis for Actuator Failure Detection and Identification
    • Napolitano M.R., Casdorph V., Neppach C., Naylor S, On-line Learning Neural Architectures and Cross- Correlation Analysis for Actuator Failure Detection and Identification, International Journal of Control, Vol. 63, No. 3, pp. 433-455, 1996
    • (1996) International Journal of Control , vol.63 , Issue.3 , pp. 433-455
    • Napolitano, M.R.1    Casdorph, V.2    Neppach, C.3    Naylor, S.4
  • 5
    • 0142226215 scopus 로고    scopus 로고
    • A Fault Tolerant Flight Control System for Sensor and Actuator Failures Using Neural Networks
    • Napolitano M. R., Younghawn A., Seanor B., "A Fault Tolerant Flight Control System for Sensor and Actuator Failures Using Neural Networks," Aircraft Design, 2000, vol. 3 no 2
    • (2000) Aircraft Design , vol.3 , Issue.2
    • Napolitano, M.R.1    Younghawn, A.2    Seanor, B.3
  • 12
    • 0024070456 scopus 로고
    • User's Manual for Interactive LINEAR, a Fortran Program to Derive Linear Aircraft Models
    • Sept
    • Antoniewicz R. F., Duke E. L., Patterson B. P., "User's Manual for Interactive LINEAR, a Fortran Program to Derive Linear Aircraft Models", NASA Technical Paper 2835, Sept. 1988
    • (1988) NASA Technical Paper 2835
    • Antoniewicz, R.F.1    Duke, E.L.2    Patterson, B.P.3
  • 15
    • 8744262499 scopus 로고
    • The Pi-Sigma Network: An Efficient Higher-Order Neural Network for Pattern Classification and Function Approximation
    • Shin Y., Ghosh J., "The Pi-Sigma Network: An Efficient Higher-Order Neural Network for Pattern Classification and Function Approximation", IEEE 7803-0164, 1991.
    • (1991) IEEE 7803-0164
    • Shin, Y.1    Ghosh, J.2
  • 18
    • 0003316990 scopus 로고    scopus 로고
    • On-Line Approximators for Nonlinear System Identification: A unified Approach
    • Ac. Press, Jan
    • Polycarpou M., On-Line Approximators for Nonlinear System Identification: A unified Approach, Control and Dynamic Systems Series, vol. 7, Ac. Press, Jan. 1998
    • (1998) Control and Dynamic Systems Series , vol.7
    • Polycarpou, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.