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Volumn 31, Issue 6, 2009, Pages 1446-1449

Convergence of multi-innovation ESG parameter estimation algorithms for CARMA models

Author keywords

Convergence property; Martingale convergence theorem; Multi innovation identification; Parameter estimation; Stochastic gradient

Indexed keywords

BASIC IDEA; CONVERGENCE PROPERTIES; CONVERGENCE PROPERTY; INFORMATION VECTOR; MARTINGALE CONVERGENCE THEOREM; MULTI-INNOVATION IDENTIFICATION; NOISE TERMS; PARAMETER ESTIMATION ALGORITHM; SIMULATION EXAMPLE; STOCHASTIC GRADIENT; STOCHASTIC GRADIENT ALGORITHMS;

EID: 67650518245     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (8)
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  • 2
    • 34247197061 scopus 로고    scopus 로고
    • Multi-innovation least squares identification methods based on the auxiliary model for MISO systems
    • Ding F, Chen H B, Li M. Multi-innovation least squares identification methods based on the auxiliary model for MISO systems[J]. Applied Mathematics and Computation, 2007, 187(2): 658-668.
    • (2007) Applied Mathematics and Computation , vol.187 , Issue.2 , pp. 658-668
    • Ding, F.1    Chen, H.B.2    Li, M.3
  • 3
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    • Chinese source
    • 2006, 22(2): 83-86.
    • (2006) , vol.22 , Issue.2 , pp. 83-86
  • 4
    • 67650510909 scopus 로고    scopus 로고
    • Chinese source
    • 2003, 20(6): 870-874.
    • (2003) , vol.20 , Issue.6 , pp. 870-874
  • 5
    • 33751236756 scopus 로고    scopus 로고
    • Performance analysis of multi-innovation gradient type identification methods
    • Ding F, Chen T. Performance analysis of multi-innovation gradient type identification methods[J]. Automatica, 2007, 43(1): 1-14.
    • (2007) Automatica , vol.43 , Issue.1 , pp. 1-14
    • Ding, F.1    Chen, T.2
  • 6
    • 67650555637 scopus 로고    scopus 로고
    • Chinese source
    • 2007, 7(21): 5475-5478; 5484.
    • (2007) , vol.7 , Issue.21
  • 7
    • 67650519320 scopus 로고    scopus 로고
    • Chinese source
    • 2008, 8(2): 473-475.
    • (2008) , vol.8 , Issue.2 , pp. 473-475


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.