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Volumn 2005, Issue , 2005, Pages 7668-7673

Robust fault diagnosis for a satellite system using a neural sliding mode observer

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FAULT TREE ANALYSIS; LEARNING ALGORITHMS; NONLINEAR SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); SWITCHING;

EID: 33847237330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1583400     Document Type: Conference Paper
Times cited : (18)

References (18)
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  • 5
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  • 6
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    • Neural Observer Schemes for Robust Detection and Isolation of Process Faults
    • 98
    • T. Marcu, L. Mirea and P.M. Frank, "Neural Observer Schemes for Robust Detection and Isolation of Process Faults," in UKACC International Conference on CONTROL '98, 1998, pp. 958-963.
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    • Marcu, T.1    Mirea, L.2    Frank, P.M.3
  • 7
    • 23944486268 scopus 로고    scopus 로고
    • Neural State Estimators for Direct Model-based Fault Diagnosis
    • Philadelphia, Pennsylvania
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  • 8
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    • Alessandri, A.1
  • 9
    • 0029407140 scopus 로고
    • Automated Fault Detection and Accommodation: A Learning Systems Approach
    • M.M. Polycarpou and A.J. Helmicki, "Automated Fault Detection and Accommodation: A Learning Systems Approach," IEEE Trans. on Systems, Man, and Cybernetics, vol. 25, 1995, pp. 1447-1458.
    • (1995) IEEE Trans. on Systems, Man, and Cybernetics , vol.25 , pp. 1447-1458
    • Polycarpou, M.M.1    Helmicki, A.J.2
  • 10
    • 0033640649 scopus 로고    scopus 로고
    • Automated Fault Diagnosis in Nonlinear Multivariable Systems Using A Learning Methodology
    • A.B. Trunov and M.M. Polycarpou, "Automated Fault Diagnosis in Nonlinear Multivariable Systems Using A Learning Methodology," IEEE Trans. on Neural Networks, vol. 11, 2000, pp. 91-101.
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  • 12
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    • Sliding Mode Obsevers for Fault Detection and Isolation
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  • 13
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    • Robust and Nonlinear Fault Diagnosis Using Sliding Mode Observers
    • Orlando, Florida
    • Y. Xiong and M. Saif, "Robust and Nonlinear Fault Diagnosis Using Sliding Mode Observers," in Proc. of the IEEE Conference on Decision and Control, Orlando, Florida, 2001, pp. 4-7.
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  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.