메뉴 건너뛰기




Volumn 352, Issue 10, 2015, Pages 4624-4637

Parameter identification of a class of nonlinear systems based on the multi-innovation identification theory

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL EFFICIENCY; STOCHASTIC SYSTEMS;

EID: 84940594926     PISSN: 00160032     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfranklin.2015.07.003     Document Type: Article
Times cited : (27)

References (40)
  • 3
    • 84869402553 scopus 로고    scopus 로고
    • Adaptive correction of deterministic models to produce probabilistic forecasts
    • P.J. Smith, K.J. Beven, A.H. Weerts, and D. Leedal Adaptive correction of deterministic models to produce probabilistic forecasts Hydrol. Earth Syst. Sci. 16 8 2012 2783 2799
    • (2012) Hydrol. Earth Syst. Sci. , vol.16 , Issue.8 , pp. 2783-2799
    • Smith, P.J.1    Beven, K.J.2    Weerts, A.H.3    Leedal, D.4
  • 4
    • 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 Int. J. Control 83 3 2010 538 551
    • (2010) Int. J. Control , vol.83 , Issue.3 , pp. 538-551
    • Shi, Y.1    Fang, H.2
  • 5
    • 79957500785 scopus 로고    scopus 로고
    • Optimal instrumental variable method for closed-loop identification
    • M. Gilson, H. Garnier, and P.M.J. Van den Hof Optimal instrumental variable method for closed-loop identification IET Control Theory Appl. 5 10 2011 1147 1154
    • (2011) IET Control Theory Appl. , vol.5 , Issue.10 , pp. 1147-1154
    • Gilson, M.1    Garnier, H.2    Van Den Hof, P.M.J.3
  • 6
    • 84888874226 scopus 로고    scopus 로고
    • Instrumental variable methods for identifying partial differential equation models
    • J. Schorsch, H. Garnier, M. Gilson, and P.C. Young Instrumental variable methods for identifying partial differential equation models Int. J. Control 86 12 2013 2325 2335
    • (2013) Int. J. Control , vol.86 , Issue.12 , pp. 2325-2335
    • Schorsch, J.1    Garnier, H.2    Gilson, M.3    Young, P.C.4
  • 7
    • 78650265249 scopus 로고    scopus 로고
    • Bias compensation methods for stochastic systems with colored noise
    • Y. Zhang, and G.M. Cui Bias compensation methods for stochastic systems with colored noise Appl. Math. Model. 35 4 2011 1709 1716
    • (2011) Appl. Math. Model. , vol.35 , Issue.4 , pp. 1709-1716
    • Zhang, Y.1    Cui, G.M.2
  • 8
    • 79951948686 scopus 로고    scopus 로고
    • Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
    • Y. Zhang Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods Math. Comput. Model. 53 9-10 2011 1810 1819
    • (2011) Math. Comput. Model. , vol.53 , Issue.9-10 , pp. 1810-1819
    • Zhang, Y.1
  • 9
    • 84875228356 scopus 로고    scopus 로고
    • Comparing some classes of bias-compensating least squares methods
    • T. Söderström Comparing some classes of bias-compensating least squares methods Automatica 49 3 2013 840 845
    • (2013) Automatica , vol.49 , Issue.3 , pp. 840-845
    • Söderström, T.1
  • 10
    • 84908170460 scopus 로고    scopus 로고
    • Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems
    • X.H. Wang, and F. Ding Performance analysis of the recursive parameter estimation algorithms for multivariable Box-Jenkins systems J. Frankl. Inst. 351 10 2014 4749 4764
    • (2014) J. Frankl. Inst. , vol.351 , Issue.10 , pp. 4749-4764
    • Wang, X.H.1    Ding, F.2
  • 11
    • 84897710253 scopus 로고    scopus 로고
    • Recursive extended least squares parameter estimation for Wiener nonlinear systems with moving average noises
    • Y.B. Hu, B.L. Liu, Q. Zhou, and C. Yang Recursive extended least squares parameter estimation for Wiener nonlinear systems with moving average noises Circuits Syst. Signal Process. 33 2 2014 655 664
    • (2014) Circuits Syst. Signal Process. , vol.33 , Issue.2 , pp. 655-664
    • Hu, Y.B.1    Liu, B.L.2    Zhou, Q.3    Yang, C.4
  • 12
    • 77952585183 scopus 로고    scopus 로고
    • Multi-innovation least squares identification for linear and pseudo-linear regression models
    • F. Ding, X.P. Liu, and G. Liu Multi-innovation least squares identification for linear and pseudo-linear regression models IEEE Trans. Syst. Man Cybern. Part B: Cybern. 40 3 2010 767 778
    • (2010) IEEE Trans. Syst. Man Cybern. Part B: Cybern. , vol.40 , Issue.3 , pp. 767-778
    • Ding, F.1    Liu, X.P.2    Liu, G.3
  • 13
    • 84907528812 scopus 로고    scopus 로고
    • A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems
    • Y.B. Hu, B.L. Liu, and Q. Zhou A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems Appl. Math. Comput. 247 2014 218 224
    • (2014) Appl. Math. Comput. , vol.247 , pp. 218-224
    • Hu, Y.B.1    Liu, B.L.2    Zhou, Q.3
  • 14
    • 84874603494 scopus 로고    scopus 로고
    • Iterative and recursive least squares estimation algorithms for moving average systems
    • Y.B. Hu Iterative and recursive least squares estimation algorithms for moving average systems Simul. Model. Pract. Theory 34 2013 12 19
    • (2013) Simul. Model. Pract. Theory , vol.34 , pp. 12-19
    • Hu, Y.B.1
  • 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 2 2007 99 105
    • (2007) Syst. Control Lett. , vol.56 , Issue.2 , pp. 99-105
    • Vörös, J.1
  • 16
    • 84898602753 scopus 로고    scopus 로고
    • Decomposition based Newton iterative identification method for a Hammerstein nonlinear FIR system with ARMA noise
    • F. Ding, K.P. Deng, and X.M. Liu Decomposition based Newton iterative identification method for a Hammerstein nonlinear FIR system with ARMA noise Circuits Syst. Signal Process. 33 9 2014 2881 2893
    • (2014) Circuits Syst. Signal Process. , vol.33 , Issue.9 , pp. 2881-2893
    • Ding, F.1    Deng, K.P.2    Liu, X.M.3
  • 17
    • 84901814060 scopus 로고    scopus 로고
    • Hierarchical parameter estimation algorithms for multivariable systems using measurement information
    • F. Ding Hierarchical parameter estimation algorithms for multivariable systems using measurement information Inf. Sci. 277 2014 396 405
    • (2014) Inf. Sci. , vol.277 , pp. 396-405
    • Ding, F.1
  • 18
    • 84872617586 scopus 로고    scopus 로고
    • Auxiliary model based parameter estimation for dual-rate output error systems with colored noise
    • J. Ding, C.X. Fan, and J.X. Lin Auxiliary model based parameter estimation for dual-rate output error systems with colored noise Appl. Math. Model. 37 6 2013 4051 4058
    • (2013) Appl. Math. Model. , vol.37 , Issue.6 , pp. 4051-4058
    • Ding, J.1    Fan, C.X.2    Lin, J.X.3
  • 19
    • 33751236756 scopus 로고    scopus 로고
    • Performance analysis of multi-innovation gradient type identification methods
    • F. Ding, and T. Chen Performance analysis of multi-innovation gradient type identification methods Automatica 43 1 2007 1 14
    • (2007) Automatica , vol.43 , Issue.1 , pp. 1-14
    • Ding, F.1    Chen, T.2
  • 20
    • 77954175918 scopus 로고    scopus 로고
    • Several multi-innovation identification methods
    • F. Ding Several multi-innovation identification methods Digit. Signal Process. 20 4 2010 1027 1039
    • (2010) Digit. Signal Process. , vol.20 , Issue.4 , pp. 1027-1039
    • Ding, F.1
  • 21
    • 84866012056 scopus 로고    scopus 로고
    • An efficient illumination invariant face recognition framework via illumination enhancement and DD-DTCWT filtering
    • A. Baradarani, Q.M. Wu, and M. Ahmadi An efficient illumination invariant face recognition framework via illumination enhancement and DD-DTCWT filtering Pattern Recognit. 46 1 2013 57 72
    • (2013) Pattern Recognit. , vol.46 , Issue.1 , pp. 57-72
    • Baradarani, A.1    Wu, Q.M.2    Ahmadi, M.3
  • 22
    • 84866512325 scopus 로고    scopus 로고
    • Generalized regression neural network trained preprocessing of frequency domain correlation filter for improved face recognition and its optical implementation
    • P.K. Banerjee, and A.K. Datta Generalized regression neural network trained preprocessing of frequency domain correlation filter for improved face recognition and its optical implementation Opt. Laser Technol. 45 2014 217 227
    • (2014) Opt. Laser Technol. , vol.45 , pp. 217-227
    • Banerjee, P.K.1    Datta, A.K.2
  • 23
    • 84858645106 scopus 로고    scopus 로고
    • A fault detection and isolation filter design method for Markov jump linear parameter-varying systems
    • G. Gagliardi, A. Casavola, and D. Famularo A fault detection and isolation filter design method for Markov jump linear parameter-varying systems Int. J. Adapt. Control Signal Process. 26 3 2013 241 257
    • (2013) Int. J. Adapt. Control Signal Process. , vol.26 , Issue.3 , pp. 241-257
    • Gagliardi, G.1    Casavola, A.2    Famularo, D.3
  • 24
    • 84900556941 scopus 로고    scopus 로고
    • A single-channel acoustic echo cancellation scheme using gradient-based adaptive filtering
    • U. Mahbub, and S. Fattah A single-channel acoustic echo cancellation scheme using gradient-based adaptive filtering Circuits Syst. Signal Process. 2014 1 32
    • (2014) Circuits Syst. Signal Process. , pp. 1-32
    • Mahbub, U.1    Fattah, S.2
  • 25
    • 84880528152 scopus 로고    scopus 로고
    • Monochromatic-based method for impulse noise detection and suppression in color images
    • Z. Ramadan Monochromatic-based method for impulse noise detection and suppression in color images Circuits Syst. Signal Process. 32 4 2013 1859 1874
    • (2013) Circuits Syst. Signal Process. , vol.32 , Issue.4 , pp. 1859-1874
    • Ramadan, Z.1
  • 26
    • 84873636626 scopus 로고    scopus 로고
    • Robust Volterra filter design for enhancement of electroencephalogram signal processing
    • J. Mateo, A. Torres, M.A. García, C. Sánchez, and R. Cervigon Robust Volterra filter design for enhancement of electroencephalogram signal processing Circuits Syst. Signal Process. 32 1 2013 233 253
    • (2013) Circuits Syst. Signal Process. , vol.32 , Issue.1 , pp. 233-253
    • Mateo, J.1    Torres, A.2    García, M.A.3    Sánchez, C.4    Cervigon, R.5
  • 27
    • 84878838380 scopus 로고    scopus 로고
    • An adaptive clipping and filtering technique for PAPR reduction of OFDM signals
    • B. Lee, and Y. Kim An adaptive clipping and filtering technique for PAPR reduction of OFDM signals Circuits Syst. Signal Process. 32 3 2013 1335 1349
    • (2013) Circuits Syst. Signal Process. , vol.32 , Issue.3 , pp. 1335-1349
    • Lee, B.1    Kim, Y.2
  • 28
    • 84897708103 scopus 로고    scopus 로고
    • A new approach for filtering and derivative estimation of noisy signals
    • Z.G. Li, and Z.H. Ma A new approach for filtering and derivative estimation of noisy signals Circuits Syst. Signal Process. 33 2 2014 589 598
    • (2014) Circuits Syst. Signal Process. , vol.33 , Issue.2 , pp. 589-598
    • Li, Z.G.1    Ma, Z.H.2
  • 29
    • 84922470043 scopus 로고    scopus 로고
    • Recursive least squares parameter identification for systems with colored noise using the filtering technique and the auxiliary model
    • F. Ding, Y.J. Wang, and J. Ding Recursive least squares parameter identification for systems with colored noise using the filtering technique and the auxiliary model Digit. Signal Process. 37 2015 100 108
    • (2015) Digit. Signal Process. , vol.37 , pp. 100-108
    • Ding, F.1    Wang, Y.J.2    Ding, J.3
  • 30
    • 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 Appl. 5 14 2011 1648 1657
    • (2011) IET Control Theory Appl. , vol.5 , Issue.14 , pp. 1648-1657
    • Wang, D.Q.1
  • 31
    • 84865457812 scopus 로고    scopus 로고
    • Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle
    • Y.J. Liu, F. Ding, and Y. Shi Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle Circuits Syst. Signal Process. 31 6 2012 1985 2000
    • (2012) Circuits Syst. Signal Process. , vol.31 , Issue.6 , pp. 1985-2000
    • Liu, Y.J.1    Ding, F.2    Shi, Y.3
  • 32
    • 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 Process. 7 8 2013 646 654
    • (2013) IET Signal Process. , vol.7 , Issue.8 , pp. 646-654
    • Ding, F.1    Duan, H.H.2
  • 33
    • 84889082104 scopus 로고    scopus 로고
    • Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems
    • C. Wang, and T. Tang Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems Appl. Math. Lett. 29 2014 36 41
    • (2014) Appl. Math. Lett. , vol.29 , pp. 36-41
    • Wang, C.1    Tang, T.2
  • 34
    • 84905122934 scopus 로고    scopus 로고
    • Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique
    • C. Wang, and T. Tang Several gradient-based iterative estimation algorithms for a class of nonlinear systems using the filtering technique Nonlinear Dyn. 77 3 2014 769 780
    • (2014) Nonlinear Dyn. , vol.77 , Issue.3 , pp. 769-780
    • Wang, C.1    Tang, T.2
  • 36
    • 84887623184 scopus 로고    scopus 로고
    • Combined state and least squares parameter estimation algorithms for dynamic systems
    • F. Ding Combined state and least squares parameter estimation algorithms for dynamic systems Appl. Math. Model. 38 1 2014 403 412
    • (2014) Appl. Math. Model. , vol.38 , Issue.1 , pp. 403-412
    • Ding, F.1
  • 37
    • 84898620668 scopus 로고    scopus 로고
    • State filtering and parameter estimation for state space systems with scarce measurements
    • F. Ding State filtering and parameter estimation for state space systems with scarce measurements Signal Process. 104 2014 369 380
    • (2014) Signal Process. , vol.104 , pp. 369-380
    • Ding, F.1
  • 38
    • 84895924313 scopus 로고    scopus 로고
    • An efficient hierarchical identification method for general dual-rate sampled-data systems
    • Y.J. Liu, F. Ding, and Y. Shi An efficient hierarchical identification method for general dual-rate sampled-data systems Automatica 50 3 2014 962 970
    • (2014) Automatica , vol.50 , Issue.3 , pp. 962-970
    • Liu, Y.J.1    Ding, F.2    Shi, Y.3
  • 39
    • 84900556855 scopus 로고    scopus 로고
    • Modified subspace identification for periodically non-uniformly sampled systems by using the lifting technique
    • J. Ding, and J.X. Lin Modified subspace identification for periodically non-uniformly sampled systems by using the lifting technique Circuits Syst. Signal Process. 33 5 2014 1439 1449
    • (2014) Circuits Syst. Signal Process. , vol.33 , Issue.5 , pp. 1439-1449
    • Ding, J.1    Lin, J.X.2
  • 40
    • 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 Appl. Math. Comput. 215 4 2009 1477 1483
    • (2009) Appl. Math. Comput. , vol.215 , Issue.4 , pp. 1477-1483
    • Liu, Y.J.1    Xiao, Y.S.2    Zhao, X.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.