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Volumn 29, Issue , 2014, Pages 36-41

Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

Author keywords

Dynamic system; Least squares; Linear in parameters model; Numerical algorithm; Parameter estimation; Recursive identification

Indexed keywords

AUXILIARY MODEL IDENTIFICATION IDEAS; IDENTIFICATION PROBLEM; LEAST SQUARE; LINEAR-IN-PARAMETERS; NUMERICAL ALGORITHMS; RECURSIVE IDENTIFICATION; RECURSIVE LEAST SQUARES ALGORITHMS; RECURSIVE LEAST-SQUARES ESTIMATION;

EID: 84889082104     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aml.2013.10.011     Document Type: Article
Times cited : (92)

References (33)
  • 3
    • 79959498019 scopus 로고    scopus 로고
    • Identification of autoregressive moving average systems based on noise compensation in the correlation domain
    • S.A. Fattah, W.P. Zhu, and M.O. Ahmad Identification of autoregressive moving average systems based on noise compensation in the correlation domain IET Signal Processing 5 3 2011 292 305
    • (2011) IET Signal Processing , vol.5 , Issue.3 , pp. 292-305
    • Fattah, S.A.1    Zhu, W.P.2    Ahmad, M.O.3
  • 4
    • 84876667366 scopus 로고    scopus 로고
    • A least squares identification algorithm for state space model with multi-state delays
    • Y. Gu, and R. Ding A least squares identification algorithm for state space model with multi-state delays Applied Mathematics Letters 26 7 2013 748 753
    • (2013) Applied Mathematics Letters , vol.26 , Issue.7 , pp. 748-753
    • Gu, Y.1    Ding, R.2
  • 5
    • 78650803456 scopus 로고    scopus 로고
    • System identification of nonlinear state-space models
    • T.B. Schön, A. Wills, and B. Ninness System identification of nonlinear state-space models Automatica 47 1 2011 39 49
    • (2011) Automatica , vol.47 , Issue.1 , pp. 39-49
    • Schön, T.B.1    Wills, A.2    Ninness, B.3
  • 6
    • 84870056674 scopus 로고    scopus 로고
    • Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle
    • D.Q. Wang, F. Ding, and Y.Y. Chu Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle Inormation Science 222 10 2013 203 212
    • (2013) Inormation Science , vol.222 , Issue.10 , pp. 203-212
    • Wang, D.Q.1    Ding, F.2    Chu, Y.Y.3
  • 7
    • 84883760902 scopus 로고    scopus 로고
    • Newton iterative identification for a class of output nonlinear systems with moving average noises
    • F. Ding, J.X. Ma, and Y.S. Xiao Newton iterative identification for a class of output nonlinear systems with moving average noises Nonlinear Dynamics 74 1-2 2013 21 30
    • (2013) Nonlinear Dynamics , vol.74 , Issue.12 , pp. 21-30
    • Ding, F.1    Ma, J.X.2    Xiao, Y.S.3
  • 8
    • 77951141155 scopus 로고    scopus 로고
    • Kalman filter based identification for systems with randomly missing measurements in a network environment
    • Y. Shi, and H. Fang Kalman filter based identification for systems with randomly missing measurements in a network environment International Journal of Control 83 3 2010 538 551
    • (2010) International Journal of Control , vol.83 , Issue.3 , pp. 538-551
    • Shi, Y.1    Fang, H.2
  • 9
    • 84866035663 scopus 로고    scopus 로고
    • Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
    • J.H. Li Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration Applied Mathematics Letters 26 1 2013 91 96
    • (2013) Applied Mathematics Letters , vol.26 , Issue.1 , pp. 91-96
    • Li, J.H.1
  • 10
    • 79953175193 scopus 로고    scopus 로고
    • Robust mixed H - 2 / H-infinity control of networked control systems with random time delays in both forward and backward communication links
    • Y. Shi, and B. Yu Robust mixed H - 2 / H-infinity control of networked control systems with random time delays in both forward and backward communication links Automatica 47 4 2011 754 760
    • (2011) Automatica , vol.47 , Issue.4 , pp. 754-760
    • Shi, Y.1    Yu, B.2
  • 11
    • 81155139625 scopus 로고    scopus 로고
    • On the accuracy in errors-in-variables identification compared to prediction-error identification
    • H. Hjalmarsson, J. Mårtensson, C.R. Rojas, and T. Söderström On the accuracy in errors-in-variables identification compared to prediction-error identification Automatica 47 12 2011 2704 2712
    • (2011) Automatica , vol.47 , Issue.12 , pp. 2704-2712
    • Hjalmarsson, H.1    Mårtensson, J.2    Rojas, C.R.3    Söderström, T.4
  • 12
    • 79960896426 scopus 로고    scopus 로고
    • A generalized instrumental variable estimation method for errors-in-variables identification problems
    • T. Söderström A generalized instrumental variable estimation method for errors-in-variables identification problems Automatica 47 8 2011 1656 1666
    • (2011) Automatica , vol.47 , Issue.8 , pp. 1656-1666
    • Söderström, T.1
  • 13
    • 9144235451 scopus 로고    scopus 로고
    • Recursive identification of Hammerstein systems with discontinuous nonlinearities containing dead-zones
    • J. Vörös Recursive identification of Hammerstein systems with discontinuous nonlinearities containing dead-zones IEEE Transactions on Automatic Control 48 12 2003 2203 2206
    • (2003) IEEE Transactions on Automatic Control , vol.48 , Issue.12 , pp. 2203-2206
    • Vörös, J.1
  • 14
    • 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 Systems & Control Letters 56 2 2007 99 105
    • (2007) Systems & Control Letters , vol.56 , Issue.2 , pp. 99-105
    • Vörös, J.1
  • 15
    • 84886952547 scopus 로고    scopus 로고
    • The generalized QMRCGSTAB algorithm for solving Sylvester-transpose matrix equations
    • M. Hajarian The generalized QMRCGSTAB algorithm for solving Sylvester-transpose matrix equations Applied Mathematics Letters 26 10 2013 1013 1017
    • (2013) Applied Mathematics Letters , vol.26 , Issue.10 , pp. 1013-1017
    • Hajarian, M.1
  • 16
    • 84865467362 scopus 로고    scopus 로고
    • An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition
    • H.Y. Hu, and F. Ding An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition Applied Mathematics Letters 25 12 2012 2332 2338
    • (2012) Applied Mathematics Letters , vol.25 , Issue.12 , pp. 2332-2338
    • Hu, H.Y.1    Ding, F.2
  • 17
    • 84872587309 scopus 로고    scopus 로고
    • Decomposition based fast least squares algorithm for output error systems
    • F. Ding Decomposition based fast least squares algorithm for output error systems Signal Processing 93 5 2013 1235 1242
    • (2013) Signal Processing , vol.93 , Issue.5 , pp. 1235-1242
    • Ding, F.1
  • 18
    • 80755154802 scopus 로고    scopus 로고
    • Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems
    • J.H. Li, F. Ding, and G.W. Yang Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems Mathematical and Computer Modelling 55 3-4 2012 442 450
    • (2012) Mathematical and Computer Modelling , vol.55 , Issue.34 , pp. 442-450
    • Li, J.H.1    Ding, F.2    Yang, G.W.3
  • 19
    • 77954175887 scopus 로고    scopus 로고
    • Input-output data filtering based recursive least squares parameter estimation for CARARMA systems
    • D.Q. Wang, and F. Ding Input-output data filtering based recursive least squares parameter estimation for CARARMA systems Digital Signal Processing 20 4 2010 991 999
    • (2010) Digital Signal Processing , vol.20 , Issue.4 , pp. 991-999
    • Wang, D.Q.1    Ding, F.2
  • 20
    • 84875381260 scopus 로고    scopus 로고
    • Coupled-least-squares identification for multivariable systems
    • F. Ding Coupled-least-squares identification for multivariable systems IET Control Theory and Applications 7 1 2013 68 79
    • (2013) IET Control Theory and Applications , vol.7 , Issue.1 , pp. 68-79
    • Ding, F.1
  • 22
    • 25844444580 scopus 로고    scopus 로고
    • Parameter estimation of dual-rate stochastic systems by using an output error method
    • F. Ding, and T. Chen Parameter estimation of dual-rate stochastic systems by using an output error method IEEE Transactions on Automatic Control 50 9 2005 1436 1441
    • (2005) IEEE Transactions on Automatic Control , vol.50 , Issue.9 , pp. 1436-1441
    • Ding, F.1    Chen, T.2
  • 24
    • 84887623184 scopus 로고    scopus 로고
    • Combined state and least squares parameter estimation algorithms for dynamic systems
    • 10.1016/j.apm.2013.06.007
    • F. Ding Combined state and least squares parameter estimation algorithms for dynamic systems Applied Mathematical Modelling 37 x 2013 10.1016/j.apm.2013.06.007
    • (2013) Applied Mathematical Modelling , vol.37 , Issue.10
    • Ding, F.1
  • 25
    • 84870248582 scopus 로고    scopus 로고
    • Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling
    • F. Ding Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling Applied Mathematical Modelling 37 4 2013 1694 1704
    • (2013) Applied Mathematical Modelling , vol.37 , Issue.4 , pp. 1694-1704
    • Ding, F.1
  • 26
    • 84872619148 scopus 로고    scopus 로고
    • Two-stage least squares based iterative estimation algorithm for CARARMA system modeling
    • F. Ding Two-stage least squares based iterative estimation algorithm for CARARMA system modeling Applied Mathematical Modelling 37 7 2013 4798 4808
    • (2013) Applied Mathematical Modelling , vol.37 , Issue.7 , pp. 4798-4808
    • Ding, F.1
  • 27
    • 77949486667 scopus 로고    scopus 로고
    • Gradient based and least-squares based iterative identification methods for OE and OEMA systems
    • F. Ding, X.P. Liu, and G. Liu Gradient based and least-squares based iterative identification methods for OE and OEMA systems Digital Signal Processing 20 3 2010 664 677
    • (2010) Digital Signal Processing , vol.20 , Issue.3 , pp. 664-677
    • Ding, F.1    Liu, X.P.2    Liu, G.3
  • 28
    • 84875377098 scopus 로고    scopus 로고
    • Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle
    • F. Ding, X.G. Liu, and J. Chu Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle IET Control Theory and Applications 7 2 2013 176 184
    • (2013) IET Control Theory and Applications , vol.7 , Issue.2 , pp. 176-184
    • Ding, F.1    Liu, X.G.2    Chu, J.3
  • 29
    • 74149086591 scopus 로고    scopus 로고
    • Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
    • Y.J. Liu, Y.S. Xiao, and X.L. Zhao Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model Applied Mathematics and Computation 215 4 2009 1477 1483
    • (2009) Applied Mathematics and Computation , vol.215 , Issue.4 , pp. 1477-1483
    • Liu, Y.J.1    Xiao, Y.S.2    Zhao, X.L.3
  • 30
    • 77950187988 scopus 로고    scopus 로고
    • Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems
    • Y.J. Liu, J. Sheng, and R.F. Ding Convergence of stochastic gradient estimation algorithm for multivariable ARX-like systems Computers & Mathematics with Applications 59 8 2010 2615 2627
    • (2010) Computers & Mathematics with Applications , vol.59 , Issue.8 , pp. 2615-2627
    • Liu, Y.J.1    Sheng, J.2    Ding, R.F.3
  • 31
    • 84880147252 scopus 로고    scopus 로고
    • Two-stage parameter estimation algorithms for Box-Jenkins systems
    • F. Ding, and H.H. Duan Two-stage parameter estimation algorithms for Box-Jenkins systems IET Signal Processing 7 8 2013 646 654
    • (2013) IET Signal Processing , vol.7 , Issue.8 , pp. 646-654
    • Ding, F.1    Duan, H.H.2
  • 32
    • 84889098554 scopus 로고    scopus 로고
    • Two-stage iterative parameter identification for CARARMA systems
    • 10.1016/j.sigpro.2013.10.018
    • F. Ding, X.M. Liu, HB. Chen, and G.Y. Yao Two-stage iterative parameter identification for CARARMA systems Signal Processing 2013 10.1016/j.sigpro.2013. 10.018
    • (2013) Signal Processing
    • Ding, F.1    Liu, X.M.2    Chen, H.B.3    Yao, G.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.