메뉴 건너뛰기




Volumn 34, Issue , 2013, Pages 12-19

Iterative and recursive least squares estimation algorithms for moving average systems

Author keywords

Iterative identification; Least squares; Parameter estimation; Recursive identification; Stochastic gradient

Indexed keywords

INFORMATION VECTOR; ITERATIVE IDENTIFICATION; ITERATIVE LEAST SQUARES; LEAST SQUARE; MOVING AVERAGES; NOISE TERMS; PARAMETER ESTIMATE; RECURSIVE IDENTIFICATION; RECURSIVE LEAST SQUARES ALGORITHMS; RECURSIVE LEAST-SQUARES ESTIMATION; STOCHASTIC GRADIENT;

EID: 84874603494     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2012.12.009     Document Type: Article
Times cited : (78)

References (39)
  • 1
    • 84856789975 scopus 로고    scopus 로고
    • A counter flow water to oil heat exchanger: MISO quasi linear parameter varying modeling and identification
    • S.E. Chouaba, A. Chamroo, R. Ouvrard, and T. Poinot A counter flow water to oil heat exchanger: MISO quasi linear parameter varying modeling and identification Simulation Modelling Practice and Theory 23 2012 87 98
    • (2012) Simulation Modelling Practice and Theory , vol.23 , pp. 87-98
    • Chouaba, S.E.1    Chamroo, A.2    Ouvrard, R.3    Poinot, T.4
  • 2
    • 80855156650 scopus 로고    scopus 로고
    • Estimation of wind turbines optimal number and produced power in a wind farm using an artificial neural network model
    • L. Ekonomou, S. Lazarou, G.E. Chatzarakis, and V. Vita Estimation of wind turbines optimal number and produced power in a wind farm using an artificial neural network model Simulation Modelling Practice and Theory 21 1 2012 21 25
    • (2012) Simulation Modelling Practice and Theory , vol.21 , Issue.1 , pp. 21-25
    • Ekonomou, L.1    Lazarou, S.2    Chatzarakis, G.E.3    Vita, V.4
  • 5
    • 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
  • 8
    • 0642314560 scopus 로고
    • A Levinson-Durbin recursion for autoregressive-moving average processes
    • J. Franke A Levinson-Durbin recursion for autoregressive-moving average processes Biometrika 72 3 1985 573 581
    • (1985) Biometrika , vol.72 , Issue.3 , pp. 573-581
    • Franke, J.1
  • 9
    • 34547797983 scopus 로고    scopus 로고
    • Mechatronic systems identification using an impulse response recursive algorithm
    • DOI 10.1016/j.simpat.2007.05.004, PII S1569190X07000615
    • T. Tutunji, M. Molhim, and E. Turki Mechatronic systems identification using an impulse response recursive algorithm Simulation Modelling Practice and Theory 15 8 2007 970 988 (Pubitemid 47238696)
    • (2007) Simulation Modelling Practice and Theory , vol.15 , Issue.8 , pp. 970-988
    • Tutunji, T.1    Molhim, M.2    Turki, E.3
  • 10
    • 22344449915 scopus 로고    scopus 로고
    • Identification of Hammerstein nonlinear ARMAX systems
    • 1479-148
    • F. Ding, and T. Chen Identification of Hammerstein nonlinear ARMAX systems Automatica 41 9 2005 1479-148
    • (2005) Automatica , vol.41 , Issue.9
    • Ding, F.1    Chen, T.2
  • 11
    • 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 Digital Signal Processing 21 2 2011 215 238
    • (2011) Digital Signal Processing , vol.21 , Issue.2 , pp. 215-238
    • Ding, F.1    Liu, X.P.2    Liu, G.3
  • 12
    • 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 Processing 91 5 2011 1182 1189
    • (2011) Signal Processing , vol.91 , Issue.5 , pp. 1182-1189
    • Wang, D.Q.1    Ding, F.2
  • 13
    • 42649134831 scopus 로고    scopus 로고
    • A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs
    • S. Ozmutlu, H.C. Ozmutlu, and B. Buyuk A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs Simulation Modelling Practice and Theory 16 5 2008 519 538
    • (2008) Simulation Modelling Practice and Theory , vol.16 , Issue.5 , pp. 519-538
    • Ozmutlu, S.1    Ozmutlu, H.C.2    Buyuk, B.3
  • 14
    • 33751236756 scopus 로고    scopus 로고
    • Performance analysis of multi-innovation gradient type identification methods
    • DOI 10.1016/j.automatica.2006.07.024, PII S0005109806003232
    • F. Ding, and T. Chen Performance analysis of multi-innovation gradient type identification methods Automatica 43 1 2007 1 14 (Pubitemid 44792035)
    • (2007) Automatica , vol.43 , Issue.1 , pp. 1-14
    • Ding, F.1    Chen, T.2
  • 15
    • 77954175918 scopus 로고    scopus 로고
    • Several multi-innovation identification methods
    • F. Ding Several multi-innovation identification methods Digital Signal Processing 20 4 2010 1027 1039
    • (2010) Digital Signal Processing , vol.20 , Issue.4 , pp. 1027-1039
    • Ding, F.1
  • 16
    • 77954564106 scopus 로고    scopus 로고
    • Multi-innovation extended stochastic gradient algorithm and its performance analysis
    • Y.J. Liu, and L. Yu Multi-innovation extended stochastic gradient algorithm and its performance analysis Circuits Systems and Signal Processing 29 4 2010 649 667
    • (2010) Circuits Systems and Signal Processing , vol.29 , Issue.4 , pp. 649-667
    • Liu, Y.J.1    Yu, L.2
  • 17
    • 77954174920 scopus 로고    scopus 로고
    • Modeling and identification for non-uniformly periodically sampled-data systems
    • L. Xie, and Y.J. Liu Modeling and identification for non-uniformly periodically sampled-data systems IET Control Theory and Applications 4 5 2010 784 794
    • (2010) IET Control Theory and Applications , vol.4 , Issue.5 , pp. 784-794
    • Xie, L.1    Liu, Y.J.2
  • 18
    • 84865479577 scopus 로고    scopus 로고
    • Performance analysis of the auxiliary model based least squares identification algorithm for one-step state delay systems
    • F. Ding, and Y. Gu Performance analysis of the auxiliary model based least squares identification algorithm for one-step state delay systems International Journal of Computer Mathematics 89 15 2012 2019 2028
    • (2012) International Journal of Computer Mathematics , vol.89 , Issue.15 , pp. 2019-2028
    • Ding, F.1    Gu, Y.2
  • 19
    • 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
  • 20
    • 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
  • 21
    • 67349177024 scopus 로고    scopus 로고
    • Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
    • F. Ding, X.P. Liu, and G. Liu Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises Signal Processing 89 10 2009 1883 1890
    • (2009) Signal Processing , vol.89 , Issue.10 , pp. 1883-1890
    • Ding, F.1    Liu, X.P.2    Liu, G.3
  • 22
    • 77549084342 scopus 로고    scopus 로고
    • Least squares based iterative identification for a class of multirate systems
    • X.G. Liu XG, and J. Lu Least squares based iterative identification for a class of multirate systems Automatica 46 3 2010 549 554
    • (2010) Automatica , vol.46 , Issue.3 , pp. 549-554
    • Liu Xg, X.G.1    Lu, J.2
  • 23
    • 79957845497 scopus 로고    scopus 로고
    • Parameter estimation for nonlinear dynamical adjustment models
    • Y.S. Xiao, and N. Yue Parameter estimation for nonlinear dynamical adjustment models Mathematical and Computer Modelling 54 5-6 2011 1561 1568
    • (2011) Mathematical and Computer Modelling , vol.54 , Issue.56 , pp. 1561-1568
    • Xiao, Y.S.1    Yue, N.2
  • 24
    • 68749087043 scopus 로고    scopus 로고
    • The residual based interactive least squares algorithms and simulation studies
    • Y.S. Xiao, and Y. Zhang The residual based interactive least squares algorithms and simulation studies Computers & Mathematics with Applications 58 6 2009 1190 1197
    • (2009) Computers & Mathematics with Applications , vol.58 , Issue.6 , pp. 1190-1197
    • Xiao, Y.S.1    Zhang, Y.2
  • 27
    • 23944510624 scopus 로고    scopus 로고
    • Least squares identification of non-stationary MA systems
    • FrC07.4, Proceedings of the 2005 American Control Conference, ACC
    • F. Ding, Y. Shi, T. Chen,. Least squares identification of non-stationary MA systems, in: Proceedings of the 2005 American Control Conference (ACC2005), Portland, USA, June 8-10, 2005, pp. 4778-4783. (Pubitemid 41188759)
    • (2005) Proceedings of the American Control Conference , vol.7 , pp. 4778-4783
    • Ding, F.1    Shi, Y.2    Chen, T.3
  • 28
    • 33244491904 scopus 로고    scopus 로고
    • Performance analysis of estimation algorithms of nonstationary ARMA processes
    • DOI 10.1109/TSP.2005.862845
    • F. Ding, Y. Shi, and T. Chen Performance analysis of estimation algorithms of non-stationary ARMA processes IEEE Transactions on Signal Processing 54 3 2006 1041 1053 (Pubitemid 43280579)
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.3 , pp. 1041-1053
    • Ding, F.1    Shi, Y.2    Chen, T.3
  • 29
    • 84863116493 scopus 로고    scopus 로고
    • Least squares-based recursive and iterative estimation for output error moving average systems using data filtering
    • D.Q. Wang Least squares-based recursive and iterative estimation for output error moving average systems using data filtering IET Control Theory and Applications 5 14 2011 1648 1657
    • (2011) IET Control Theory and Applications , vol.5 , Issue.14 , pp. 1648-1657
    • Wang, D.Q.1
  • 33
    • 16244397443 scopus 로고    scopus 로고
    • Hierarchical least squares identification methods for multivariable systems
    • DOI 10.1109/TAC.2005.843856
    • F. Ding, and T. Chen Hierarchical least squares identification methods for multivariable systems IEEE Transactions on Automatic Control 50 3 2005 397 402 (Pubitemid 40448592)
    • (2005) IEEE Transactions on Automatic Control , vol.50 , Issue.3 , pp. 397-402
    • Ding, F.1    Chen, T.2
  • 34
    • 22144498905 scopus 로고    scopus 로고
    • Hierarchical identification of lifted state-space models for general dual-rate systems
    • DOI 10.1109/TCSI.2005.849144
    • F. Ding, and T. Chen Hierarchical identification of lifted state-space models for general dual-rate systems IEEE Transactions on Circuits and Systems-I: Regular Papers 52 6 2005 1179 1187 (Pubitemid 40970287)
    • (2005) IEEE Transactions on Circuits and Systems I: Regular Papers , vol.52 , Issue.6 , pp. 1179-1187
    • Ding, F.1    Chen, T.2
  • 35
    • 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
  • 36
    • 77957294731 scopus 로고    scopus 로고
    • Gradient-based iterative parameter estimation for Box-Jenkins systems
    • D.Q. Wang, G.W. Yang, and R.F. Ding Gradient-based iterative parameter estimation for Box-Jenkins systems Computers & Mathematics with Applications 60 5 2010 1200 1208
    • (2010) Computers & Mathematics with Applications , vol.60 , Issue.5 , pp. 1200-1208
    • Wang, D.Q.1    Yang, G.W.2    Ding, R.F.3
  • 37
    • 77954174851 scopus 로고    scopus 로고
    • Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data
    • Y.J. Liu, and D.Q. Wang Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement data Digital Signal Processing 20 5 2010 1458 1467
    • (2010) Digital Signal Processing , vol.20 , Issue.5 , pp. 1458-1467
    • Liu, Y.J.1    Wang, D.Q.2
  • 39
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.