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Volumn 105, Issue , 2014, Pages 137-147

Recursive parameter identification of Hammerstein-Wiener systems with measurement noise

Author keywords

Convergence; Hammerstein Wiener system; Heteroscedastic measurement noise; Recursive identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE;

EID: 84903217369     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2014.05.030     Document Type: Article
Times cited : (44)

References (32)
  • 1
    • 76749119806 scopus 로고    scopus 로고
    • An affine projection-based algorithm for identification of nonlinear Hammerstein systems
    • I.J. Umoh, and T. Ogunfunmi An affine projection-based algorithm for identification of nonlinear Hammerstein systems Signal Process. 90 2010 2020 2030
    • (2010) Signal Process. , vol.90 , pp. 2020-2030
    • Umoh, I.J.1    Ogunfunmi, T.2
  • 2
    • 0036647692 scopus 로고    scopus 로고
    • A blind approach to Hammerstein model identification
    • B. Er-Wei, and F. Minyue A blind approach to Hammerstein model identification IEEE Trans. Signal Process. 50 2002 1610 1619
    • (2002) IEEE Trans. Signal Process. , vol.50 , pp. 1610-1619
    • Er-Wei, B.1    Minyue, F.2
  • 3
    • 33947233313 scopus 로고    scopus 로고
    • Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
    • F. Ding, Y. Shi, and T. Chen Auxiliary model-based least-squares identification methods for Hammerstein output-error systems Syst. Control Lett. 56 2007 373 380
    • (2007) Syst. Control Lett. , vol.56 , pp. 373-380
    • Ding, F.1    Shi, Y.2    Chen, T.3
  • 4
    • 78049277587 scopus 로고    scopus 로고
    • Convergence of the iterative algorithm for a general Hammerstein system identification
    • E.W. Bai, and K. Li Convergence of the iterative algorithm for a general Hammerstein system identification Automatica 46 2010 1891 1896
    • (2010) Automatica , vol.46 , pp. 1891-1896
    • Bai, E.W.1    Li, K.2
  • 5
    • 0037210278 scopus 로고    scopus 로고
    • Blind identification of second order Hammerstein series
    • P. Koukoulas, and N. Kalouptsidis Blind identification of second order Hammerstein series Signal Process. 83 2003 213 234
    • (2003) Signal Process. , vol.83 , pp. 213-234
    • Koukoulas, P.1    Kalouptsidis, N.2
  • 6
    • 79551472381 scopus 로고    scopus 로고
    • Identification methods for Hammerstein nonlinear systems
    • F. Ding, X.P. Liu, and G. Liu Identification methods for Hammerstein nonlinear systems Digit. Signal Process. 21 2011 215 238
    • (2011) Digit. Signal Process. , vol.21 , pp. 215-238
    • Ding, F.1    Liu, X.P.2    Liu, G.3
  • 7
    • 0035266991 scopus 로고    scopus 로고
    • Identification of certain time-varying nonlinear wiener and Hammerstein systems
    • A.E. Nordsjo, and L.H. Zetterberg Identification of certain time-varying nonlinear wiener and Hammerstein systems IEEE Trans. Signal Process. 49 2001 577 592
    • (2001) IEEE Trans. Signal Process. , vol.49 , pp. 577-592
    • Nordsjo, A.E.1    Zetterberg, L.H.2
  • 8
    • 79551473739 scopus 로고    scopus 로고
    • Least squares based and gradient based iterative identification for Wiener nonlinear systems
    • D.Q. Wang, and F. Ding Least squares based and gradient based iterative identification for Wiener nonlinear systems Signal Process. 91 2011 1182 1189
    • (2011) Signal Process. , vol.91 , pp. 1182-1189
    • Wang, D.Q.1    Ding, F.2
  • 9
    • 0004255876 scopus 로고
    • 2nd ed. Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA
    • K.J. Åström, and B. Wittenmark Adaptive Control 2nd ed. 1994 Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA
    • (1994) Adaptive Control
    • Åström, K.J.1    Wittenmark, B.2
  • 10
    • 22344449915 scopus 로고    scopus 로고
    • Identification of Hammerstein nonlinear ARMAX systems
    • F. Ding, and T. Chen Identification of Hammerstein nonlinear ARMAX systems Automatica 41 2005 1479 1489
    • (2005) Automatica , vol.41 , pp. 1479-1489
    • Ding, F.1    Chen, T.2
  • 15
    • 33845215508 scopus 로고    scopus 로고
    • Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities
    • J. Vörös Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities Syst. Control Lett. 56 2007 99 105
    • (2007) Syst. Control Lett. , vol.56 , pp. 99-105
    • Vörös, J.1
  • 16
    • 0032022209 scopus 로고    scopus 로고
    • An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
    • (Mar)
    • E.W. Bai An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems Automatica 34 1998 333 338 (Mar)
    • (1998) Automatica , vol.34 , pp. 333-338
    • Bai, E.W.1
  • 17
    • 3142613723 scopus 로고    scopus 로고
    • Hammerstein-Wiener system estimator initialization
    • P. Crama, and J. Schoukens Hammerstein-Wiener system estimator initialization Automatica 40 2004 1543 1550
    • (2004) Automatica , vol.40 , pp. 1543-1550
    • Crama, P.1    Schoukens, J.2
  • 18
    • 84871271512 scopus 로고    scopus 로고
    • Identification of Hammerstein-Wiener models
    • (Jan)
    • A. Wills, T.B. Schon, L. Ljung, and B. Ninness Identification of Hammerstein-Wiener models Automatica 49 2013 70 81 (Jan)
    • (2013) Automatica , vol.49 , pp. 70-81
    • Wills, A.1    Schon, T.B.2    Ljung, L.3    Ninness, B.4
  • 19
    • 0036721879 scopus 로고    scopus 로고
    • Estimation of an N-L-N Hammerstein-Wiener model
    • Y.C. Zhu Estimation of an N-L-N Hammerstein-Wiener model Automatica 38 2002 1607 1614
    • (2002) Automatica , vol.38 , pp. 1607-1614
    • Zhu, Y.C.1
  • 20
    • 84857195464 scopus 로고    scopus 로고
    • A new approach for nonlinear process identification using orthonormal bases and ordinal splines
    • J.W. MacArthur A new approach for nonlinear process identification using orthonormal bases and ordinal splines J. Process Control 22 2012 375 389
    • (2012) J. Process Control , vol.22 , pp. 375-389
    • Macarthur, J.W.1
  • 21
    • 0036604581 scopus 로고    scopus 로고
    • A blind approach to the Hammerstein-Wiener model identification
    • E.W. Bai A blind approach to the Hammerstein-Wiener model identification Automatica 38 2002 967 979
    • (2002) Automatica , vol.38 , pp. 967-979
    • Bai, E.W.1
  • 22
    • 84904240047 scopus 로고    scopus 로고
    • The Hammerstein-Wiener model for identification of stochastic systems
    • G.R. Bolkvadze The Hammerstein-Wiener model for identification of stochastic systems Autom. Remote Control 64 2003 1418 1431
    • (2003) Autom. Remote Control , vol.64 , pp. 1418-1431
    • Bolkvadze, G.R.1
  • 23
    • 55649109065 scopus 로고    scopus 로고
    • Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
    • D. Wang, and F. Ding Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems Comput. Math. Appl. 56 2008 3157 3164
    • (2008) Comput. Math. Appl. , vol.56 , pp. 3157-3164
    • Wang, D.1    Ding, F.2
  • 24
    • 84867831752 scopus 로고    scopus 로고
    • Hierarchical least squares estimation algorithm for Hammerstein-Wiener systems
    • D.Q. Wang, and F. Ding Hierarchical least squares estimation algorithm for Hammerstein-Wiener systems IEEE Signal Process. Lett. 19 2012 825 828
    • (2012) IEEE Signal Process. Lett. , vol.19 , pp. 825-828
    • Wang, D.Q.1    Ding, F.2
  • 25
    • 84880911720 scopus 로고    scopus 로고
    • Recursive identification for Hammerstein-Wiener systems with dead-zone input nonlinearity
    • F. Yu, Z. Mao, and M. Jia Recursive identification for Hammerstein-Wiener systems with dead-zone input nonlinearity J. Process Control 23 2013 1108 1115
    • (2013) J. Process Control , vol.23 , pp. 1108-1115
    • Yu, F.1    Mao, Z.2    Jia, M.3
  • 26
    • 0003473124 scopus 로고    scopus 로고
    • 2nd ed. Prentice Hall PTR, Prentic Hall Inc. Upper Saddle River, New Jersey
    • L. Ljung System Identification: Theory for the User 2nd ed. 1999 Prentice Hall PTR, Prentic Hall Inc. Upper Saddle River, New Jersey
    • (1999) System Identification: Theory for the User
    • Ljung, L.1
  • 27
    • 77955307256 scopus 로고    scopus 로고
    • Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence of additive noise
    • S. Mousazadeh, and I. Cohen Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence of additive noise Signal Process. 90 2010 2947 2953
    • (2010) Signal Process. , vol.90 , pp. 2947-2953
    • Mousazadeh, S.1    Cohen, I.2
  • 28
    • 0017526570 scopus 로고
    • Analysis of recursive stochastic algorithms
    • L. Ljung Analysis of recursive stochastic algorithms IEEE Trans. Autom. Control 22 1977 551 575
    • (1977) IEEE Trans. Autom. Control , vol.22 , pp. 551-575
    • Ljung, L.1
  • 29
    • 49249128625 scopus 로고    scopus 로고
    • Performance analysis of stochastic gradient algorithms under weak conditions
    • F. Ding, H. Yang, and F. Liu Performance analysis of stochastic gradient algorithms under weak conditions Sci. China Series F: Inf. Sci. 51 2008 1269 1280
    • (2008) Sci. China Series F: Inf. Sci. , vol.51 , pp. 1269-1280
    • Ding, F.1    Yang, H.2    Liu, F.3
  • 30
    • 0033321709 scopus 로고    scopus 로고
    • A strong tracking extended Kalman observer for nonlinear discrete-time systems
    • M. Boutayeb, and D. Aubry A strong tracking extended Kalman observer for nonlinear discrete-time systems IEEE Trans. Autom. Control 44 1999 1550 1556
    • (1999) IEEE Trans. Autom. Control , vol.44 , pp. 1550-1556
    • Boutayeb, M.1    Aubry, D.2
  • 31
    • 0032665007 scopus 로고    scopus 로고
    • Stochastic stability of the discrete-time extended Kalman filter
    • K. Reif, S. Gunther, E. Yaz, and R. Unbehauen Stochastic stability of the discrete-time extended Kalman filter IEEE Trans. Autom. Control 44 1999 714 728
    • (1999) IEEE Trans. Autom. Control , vol.44 , pp. 714-728
    • Reif, K.1    Gunther, S.2    Yaz, E.3    Unbehauen, R.4
  • 32
    • 84862809210 scopus 로고    scopus 로고
    • A direct adaptive controller for EAF electrode regulator system using neural networks
    • L. Li, and Z. Mao A direct adaptive controller for EAF electrode regulator system using neural networks Neurocomputing 82 2012 91 98
    • (2012) Neurocomputing , vol.82 , pp. 91-98
    • Li, L.1    Mao, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.