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Volumn 58, Issue 3, 2013, Pages 802-808

Recursive identification of MIMO wiener systems

Author keywords

mixing; MIMO Wiener system; stochastic approximation; strong consistency

Indexed keywords

GAUSSIAN RANDOM VECTORS; KERNEL FUNCTION; LINEAR SUBSYSTEMS; MIMO WIENER SYSTEMS; MULTI INPUT AND MULTI OUTPUTS; NONLINEAR FUNCTIONS; RECURSIVE IDENTIFICATION; STOCHASTIC APPROXIMATIONS; STRONG CONSISTENCY; SUITABLE CONDITIONS; WIENER SYSTEMS;

EID: 84874629107     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAC.2012.2215539     Document Type: Article
Times cited : (34)

References (18)
  • 1
    • 79960916347 scopus 로고    scopus 로고
    • Block-oriented nonlinear system identification
    • M. Thoma, F. Allgöower, and M. Morari, Eds. Berlin, Germany: Springer
    • F. Giri and E. W. Bai, "Block-oriented Nonlinear System Identification," in Lecture Notes in Control and Information Sciences, M. Thoma, F. Allgöower, and M. Morari, Eds. Berlin, Germany: Springer, 2010.
    • (2010) Lecture Notes in Control and Information Sciences
    • Giri, F.1    Bai, E.W.2
  • 2
    • 13944278131 scopus 로고    scopus 로고
    • Identification of time-varying pH processes using sinusoidal signals
    • DOI 10.1016/j.automatica.2004.11.003, PII S0005109804003139
    • A. D. Kalafatis, L. Wang, and W. R. Cluett, "Identification of timevarying pH processes using sinusoidal signals," Automatica, vol. 41, no. 4, pp. 685-691, 2005. (Pubitemid 40266216)
    • (2005) Automatica , vol.41 , Issue.4 , pp. 685-691
    • Kalafatis, A.D.1    Wang, L.2    Cluett, W.R.3
  • 3
    • 0022150259 scopus 로고
    • Fading memory and the problem of approximating nonlinear operators with volterra series
    • S. Boyd and L. O. Chua, "Fading memory and the problem of approximating nonlinear operators with volterra series," IEEE Trans. Circuits Syst., vol. 32, no. 11, pp. 1150-1161, Nov. 1985. (Pubitemid 16539237)
    • (1985) IEEE transactions on circuits and systems , vol.CAS-32 , Issue.11 , pp. 1150-1161
    • Boyd Stephen1    Chua Leon, O.2
  • 4
    • 0030197651 scopus 로고    scopus 로고
    • Identifying MIMO Wiener systems using subspace model identification methods
    • DOI 10.1016/0165-1684(96)00056-4, PII S0165168496000564
    • D. Westwick and M. Verhaegen, "Identifying MIMO Wiener systems using subspacemodel identificationmethods," Signal Process., vol. 52, no. 2, pp. 235-258, 1996. (Pubitemid 126370646)
    • (1996) Signal Processing , vol.52 , Issue.2 , pp. 235-258
    • Westwick, D.1    Verhaegen, M.2
  • 6
    • 84874628347 scopus 로고    scopus 로고
    • Subspace identification of multivariable Hammerstein and Wiener models
    • J. C. Gömez and E. Baeyens, "Subspace identification of multivariable Hammerstein and Wiener models," Eur. J. Control, vol. 11, no. 2, pp. 1-10, 2005.
    • (2005) Eur. J. Control , vol.11 , Issue.2 , pp. 1-10
    • Gömez, J.C.1    Baeyens, E.2
  • 7
    • 37749023156 scopus 로고    scopus 로고
    • Identification for Wiener systems with RTF subsystems
    • X. L. Hu and H. F. Chen, "Identification for Wiener systems with RTF subsystems," Eur. J. Control, vol. 12, no. 6, pp. 581-594, 2006.
    • (2006) Eur. J. Control , vol.12 , Issue.6 , pp. 581-594
    • Hu, X.L.1    Chen, H.F.2
  • 8
    • 84860589064 scopus 로고    scopus 로고
    • Markov chain approach to identifying Wiener systems
    • W. X. Zhao and H. F. Chen, "Markov chain approach to identifying Wiener systems," Sci. China: Inform. Sci., vol. 55, no. 5, pp. 1201-1217, 2012.
    • (2012) Sci. China: Inform. Sci , vol.55 , Issue.5 , pp. 1201-1217
    • Zhao, W.X.1    Chen, H.F.2
  • 9
    • 24944436643 scopus 로고    scopus 로고
    • Strong consistency of recursive identification for Wiener systems
    • X. L. Hu and H. F. Chen, "Strong consistency of recursive identification for Wiener systems," Automatica, vol. 41, no. 11, pp. 1905-1916, 2005.
    • (2005) Automatica , vol.41 , Issue.11 , pp. 1905-1916
    • Hu, X.L.1    Chen, H.F.2
  • 10
    • 48449097740 scopus 로고    scopus 로고
    • Identification for wiener systems with internal noise
    • Q. J. Song and H. F. Chen, "Identification for wiener systems with internal noise," J. Syst. Sci. Complex., vol. 21, no. 3, pp. 378-393, 2008.
    • (2008) J. Syst. Sci. Complex , vol.21 , Issue.3 , pp. 378-393
    • Song, Q.J.1    Chen, H.F.2
  • 11
    • 0031108613 scopus 로고    scopus 로고
    • Identifiability and persistent excitation in full matrix fraction parameter estimation
    • PII S0005109896002014
    • P. O. Arambel and G. Tadmor, "Identifiability and persistent excitation in full matrix fraction parameter estimation," Automatica, vol. 33, no. 4, pp. 689-692, 1997. (Pubitemid 127417102)
    • (1997) Automatica , vol.33 , Issue.4 , pp. 689-692
    • Arambel, P.O.1    Tadmor, G.2
  • 12
    • 0005647899 scopus 로고
    • Large-sample estimation of parameters for autoregressive process with moving-average residuals
    • A. M.Walker, "Large-sample estimation of parameters for autoregressive process with moving-average residuals," Biometrika, vol. 49, no. 1, pp. 117-131, 1962.
    • (1962) Biometrika , vol.49 , Issue.1 , pp. 117-131
    • Walker, A.M.1
  • 14
    • 0001155464 scopus 로고
    • Some mixing properties of time series models
    • T. D. Pham and L. T. Tran, "Some mixing properties of time series models," Stochastic Process. Appl., vol. 19, no. 2, pp. 297-303, 1985.
    • (1985) Stochastic Process. Appl , vol.19 , Issue.2 , pp. 297-303
    • Pham, T.D.1    Tran, L.T.2
  • 15
    • 77953102592 scopus 로고    scopus 로고
    • Recursive identification for nonlinear ARX systems based on stochastic approximation algorithm
    • Jun.
    • W. X. Zhao, H. F. Chen, and W. X. Zheng, "Recursive identification for nonlinear ARX systems based on stochastic approximation algorithm," IEEE Trans. Autom. Control, vol. 55, no. 6, pp. 1287-1299, Jun. 2010.
    • (2010) IEEE Trans. Autom. Control , vol.55 , Issue.6 , pp. 1287-1299
    • Zhao, W.X.1    Chen, H.F.2    Zheng, W.X.3
  • 17
    • 84866853810 scopus 로고    scopus 로고
    • Least-squares support vector machines for the identification of Wiener-Hammerstein systems
    • T. Falck, P. Dreesen, K. D. Brabanter, K. Pelckmans, B. D. Moor, and J. A. K. Suykens, "Least-squares support vector machines for the identification of Wiener-Hammerstein systems," Control Eng. Practice, vol. 20, no. 11, pp. 1165-1174, 2012.
    • (2012) Control Eng. Practice , vol.20 , Issue.11 , pp. 1165-1174
    • Falck, T.1    Dreesen, P.2    Brabanter, K.D.3    Pelckmans, K.4    Moor, B.D.5    Suykens, J.A.K.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.