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Volumn 15, Issue 1, 2002, Pages 459-464

Designing state-space models with neural networks

Author keywords

Fault diagnosis; Neural networks; Non linear system identification; State space models

Indexed keywords

AUTOMATION; DATA HANDLING; FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; STATE SPACE METHODS;

EID: 84945545910     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01630     Document Type: Conference Paper
Times cited : (1)

References (17)
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  • 5
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    • On the value of information in system identyfication-bounded noise case
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  • 9
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    • Tuning noise bounds in state bounding
    • July 9-12, Lille, France
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    • Maksarow, D.1    Norton, J.2
  • 10
    • 0030284255 scopus 로고    scopus 로고
    • State bounding with ellipsoidal set description of the uncertainty
    • Maksarow, D. and J. Norton (1996). State bounding with ellipsoidal set description of the uncertainty. Int. Journal of Control, 65(5), pp. 847-866.
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    • Maksarow, D.1    Norton, J.2
  • 17
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    • N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
    • Van Overschee, P. and De Moor B. (1994). N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems. Automatica, 30(1), pp. 75-93.
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    • Van Overschee, P.1    De Moor, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.