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Volumn 17, Issue 1 PART 1, 2008, Pages

An optimal instrumental variable method for continuous-time fractional model identification

Author keywords

Continuous time system estimation; Errors in variables identification; Stochastic system identification

Indexed keywords

CONTINUOUS TIME; CONTINUOUS-TIME SYSTEM IDENTIFICATION; ERRORS IN VARIABLES IDENTIFICATION; FRACTIONAL DIFFERENTIATION; FRACTIONAL MODEL; FRACTIONAL MODEL IDENTIFICATION; INSTRUMENTAL VARIABLE METHODS; INSTRUMENTAL VARIABLES; MONTE CARLO SIMULATION;

EID: 79961020043     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20080706-5-KR-1001.2871     Document Type: Conference Paper
Times cited : (52)

References (17)
  • 2
    • 15544379984 scopus 로고    scopus 로고
    • Numerical simulations of fractional systems: An overview of existing methods and improvements
    • Special issue: Fractional Derivatives and Their Applications, 131, December
    • M. Aoun, R. Malti, F. Levron, and A. Oustaloup. Numerical simulations of fractional systems: an overview of existing methods and improvements. An Int. J. of Nonlinear Dynamics and Chaos in Engineering Systems. Special issue: Fractional Derivatives and Their Applications., 38(1-4):117 131, December 2004.
    • (2004) An Int. J. of Nonlinear Dynamics and Chaos in Engineering Systems , vol.38 , Issue.1-4 , pp. 117
    • Aoun, M.1    Malti, R.2    Levron, F.3    Oustaloup, A.4
  • 13
    • 0019438004 scopus 로고
    • Parameter estimation for continuous-time models a survey
    • 29
    • P.C. Young. Parameter estimation for continuous-time models a survey. Automatica, 17(1):23 29, 1981.
    • (1981) Automatica , vol.17 , Issue.1 , pp. 23
    • Young, P.C.1
  • 16
    • 34250740775 scopus 로고    scopus 로고
    • An optimal instrumental variable approach for identifying hybrid continuous-time box-jenkins models
    • 230, Newcastle, Australia
    • P.C. Young, H. Garnier, and M. Gilson. An optimal instrumental variable approach for identifying hybrid continuous-time box-jenkins models. In 14th IFAC Symposium on System Identification (SYSID-2006), pages 225 230, Newcastle, Australia, 2006.
    • (2006) 14th IFAC Symposium on System Identification (SYSID-2006) , pp. 225
    • Young, P.C.1    Garnier, H.2    Gilson, M.3
  • 17
    • 84866747702 scopus 로고
    • Refined instrumental variable methods of time-series analysis: Part iii, extensions
    • P.C. Young and A.J. Jakeman. Refined instrumental variable methods of time-series analysis: Part iii, extensions. International Journal of Control, 31:741 764, 1980.
    • (1980) International Journal of Control , vol.31 , Issue.741 , pp. 764
    • Young, P.C.1    Jakeman, A.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.