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1
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78650265249
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Bias compensation methods for stochastic systems with colored noise
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Zhang Y., Cui G.M. Bias compensation methods for stochastic systems with colored noise. Applied Mathematical Modelling 2011, 35(4):1709-1716.
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Applied Mathematical Modelling
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Zhang, Y.1
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Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
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Zhang Y. Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods. Mathematical and Computer Modelling 2011, 53(9-10):1810-1819.
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Mathematical and Computer Modelling
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Zhang, Y.1
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3
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26244448321
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Gradient based iterative algorithms for solving a class of matrix equations
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Ding F., Chen T. Gradient based iterative algorithms for solving a class of matrix equations. IEEE Transactions on Automatic Control 2005, 50(8):1216-1221.
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IEEE Transactions on Automatic Control
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Ding, F.1
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4
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10444247504
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Iterative least squares solutions of coupled Sylvester matrix equations
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Ding F., Chen T. Iterative least squares solutions of coupled Sylvester matrix equations. Systems & Control Letters 2005, 54(2):95-107.
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(2005)
Systems & Control Letters
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Ding, F.1
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5
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33751185751
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On iterative solutions of general coupled matrix equations
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Ding F., Chen T. On iterative solutions of general coupled matrix equations. SIAM Journal on Control and Optimization 2006, 44(6):2269-2284.
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(2006)
SIAM Journal on Control and Optimization
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Ding, F.1
Chen, T.2
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6
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38949156204
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Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle
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Ding F., Liu P.X., Ding J. Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle. Applied Mathematics and Computation 2008, 197(1):41-50.
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(2008)
Applied Mathematics and Computation
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Ding, F.1
Liu, P.X.2
Ding, J.3
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7
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68749110971
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Gradient based iterative solutions for general linear matrix equations
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Xie L., Ding J., Ding F. Gradient based iterative solutions for general linear matrix equations. Computers & Mathematics with Applications 2009, 58(7):1441-1448.
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(2009)
Computers & Mathematics with Applications
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Xie, L.1
Ding, J.2
Ding, F.3
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8
-
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77950189548
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Transformations between some special matrices
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Ding F. Transformations between some special matrices. Computers & Mathematics with Applications 2010, 59(8):2676-2695.
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(2010)
Computers & Mathematics with Applications
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Ding, F.1
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11
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78951487217
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Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems
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Zhang Z.N., Ding F., Liu X.G. Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems. Computers and Mathematics with Applications 2011, 61(3):672-682.
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Computers and Mathematics with Applications
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Zhang, Z.N.1
Ding, F.2
Liu, X.G.3
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12
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77949486667
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Gradient based and least-squares based iterative identification methods for OE and OEMA systems
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Ding F., Liu P.X., Liu G.J. Gradient based and least-squares based iterative identification methods for OE and OEMA systems. Digital Signal Processing 2010, 20(3):664-677.
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(2010)
Digital Signal Processing
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Ding, F.1
Liu, P.X.2
Liu, G.J.3
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13
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70350622178
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An iterative method for solving the generalized coupled Sylvester matrix equations over generalized bisymmetric matrices
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Dehghan M., Hajarian M. An iterative method for solving the generalized coupled Sylvester matrix equations over generalized bisymmetric matrices. Applied Mathematical Modelling 2010, 34(3):639-654.
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Applied Mathematical Modelling
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Dehghan, M.1
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14
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77649337553
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An efficient algorithm for solving general coupled matrix equations and its application
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Dehghan M., Hajarian M. An efficient algorithm for solving general coupled matrix equations and its application. Mathematical and Computer Modelling 2010, 51(9-10):1118-1134.
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Mathematical and Computer Modelling
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Dehghan, M.1
Hajarian, M.2
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15
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78650264100
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Identification of multiple-input single-output Hammerstein models using Bezier curves and Bernstein polynomials
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Ahmadi M., Mojallali H. Identification of multiple-input single-output Hammerstein models using Bezier curves and Bernstein polynomials. Applied Mathematical Modelling 2011, 35(4):1969-1982.
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Applied Mathematical Modelling
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Ahmadi, M.1
Mojallali, H.2
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16
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78549245803
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Data-driven fuzzy models for nonlinear identification of a complex heat exchanger
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Habbi H., Kidouche M., Zelmat M. Data-driven fuzzy models for nonlinear identification of a complex heat exchanger. Applied Mathematical Modelling 2011, 35(3):1470-1482.
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Applied Mathematical Modelling
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Habbi, H.1
Kidouche, M.2
Zelmat, M.3
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17
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79551472381
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Identification methods for Hammerstein nonlinear systems
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Ding F., Liu P.X., Liu G. Identification methods for Hammerstein nonlinear systems. Digital Signal Processing 2011, 21(2):215-238.
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(2011)
Digital Signal Processing
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Ding, F.1
Liu, P.X.2
Liu, G.3
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18
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55649109065
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Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
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Wang D.Q., Ding F. Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems. Computers & Mathematics with Applications 2008, 56(12):3157-3164.
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Computers & Mathematics with Applications
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Wang, D.Q.1
Ding, F.2
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19
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33845215508
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Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities
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Vörös J. Parameter identification of Wiener systems with multisegment piecewise-linear nonlinearities. Systems & Control Letters 2007, 56(2):99-105.
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Systems & Control Letters
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Vörös, J.1
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20
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33947233313
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Auxiliary model-based least-squares identification methods for Hammerstein output-error systems
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Ding F., Shi Y., Chen T. Auxiliary model-based least-squares identification methods for Hammerstein output-error systems. Systems & Control Letters 2007, 56(5):373-380.
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Systems & Control Letters
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Ding, F.1
Shi, Y.2
Chen, T.3
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21
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22344449915
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Identification of Hammerstein nonlinear ARMAX systems
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Ding F., Chen T. Identification of Hammerstein nonlinear ARMAX systems. Automatica 2005, 41(9):1479-1489.
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Automatica
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Ding, F.1
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77956010793
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Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems
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Chen J., Zhang Y., Ding R.F. Auxiliary model based multi-innovation algorithms for multivariable nonlinear systems. Mathematical and Computer Modelling 2010, 52(9-10):1428-1434.
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Mathematical and Computer Modelling
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Chen, J.1
Zhang, Y.2
Ding, R.F.3
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23
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77950862482
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Auxiliary model-based RELS and MI-ELS algorithms for Hammerstein OEMA systems
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Wang D.Q., Chu Y.Y., Ding F. Auxiliary model-based RELS and MI-ELS algorithms for Hammerstein OEMA systems. Computers & Mathematics with Applications 2010, 59(9):3092-3098.
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Computers & Mathematics with Applications
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Wang, D.Q.1
Chu, Y.Y.2
Ding, F.3
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24
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77953128333
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Auxiliary model-based recursive generalized least squares parameter estimation for Hammerstein OEAR systems
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Wang D.Q., Chu Y.Y., Yang G.W., Ding F. Auxiliary model-based recursive generalized least squares parameter estimation for Hammerstein OEAR systems. Mathematical and Computer Modelling 2010, 52(1-2):309-317.
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Mathematical and Computer Modelling
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Wang, D.Q.1
Chu, Y.Y.2
Yang, G.W.3
Ding, F.4
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26
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80755164091
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Maximum likelihood least squares identification for systems with autoregressive moving average noise
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Wang W., Ding F., Dai J.Y. Maximum likelihood least squares identification for systems with autoregressive moving average noise. Applied Mathematical Modelling 2012, 36(5):1842-1853.
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Applied Mathematical Modelling
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Wang, W.1
Ding, F.2
Dai, J.Y.3
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27
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77955658120
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Iterative methods for use with nonlinear discrete algebraic models
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Cordero A., Hueso J., Martínez E., Torregrosa J.R. Iterative methods for use with nonlinear discrete algebraic models. Mathematical and Computer Modelling 2010, 52(7-8):1251-1257.
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Mathematical and Computer Modelling
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Cordero, A.1
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34648847295
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Newton-like iterative methods for solving system of non-linear equations
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Golbabai A., Javidi M. Newton-like iterative methods for solving system of non-linear equations. Applied Mathematics and Computation 2007, 192(2):546-551.
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Applied Mathematics and Computation
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Golbabai, A.1
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Parameter fitting for nonlinear systems. The Chinese Control and Decision Conference (2011 CCDC), May 23-25, 2011, Mianyang, China.
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J.H. Li, F. Ding. Parameter fitting for nonlinear systems. The 2011 Chinese Control and Decision Conference (2011 CCDC), May 23-25, 2011, Mianyang, China, pp. 1085-1090.
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Li, J.H.1
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33751236756
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Performance analysis of multi-innovation gradient type identification methods
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Ding F., Chen T. Performance analysis of multi-innovation gradient type identification methods. Automatica 2007, 43(1):1-14.
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Automatica
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Ding, F.1
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Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
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Liu Y.J., Xiao Y.S., Zhao X.L. Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model. Applied Mathematics and Computation 2009, 215(4):1477-1483.
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Applied Mathematics and Computation
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Liu, Y.J.1
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67349090936
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Multi-innovation stochastic gradient algorithms for multi-input multi-output systems
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Han L.L., Ding F. Multi-innovation stochastic gradient algorithms for multi-input multi-output systems. Digital Signal Processing 2009, 19(4):545-554.
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Digital Signal Processing
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Han, L.L.1
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67349177024
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Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
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Ding F., Liu P.X., Liu G. Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Processing 2009, 89(10):1883-1890.
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Signal Processing
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Ding, F.1
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57249097181
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Self-tuning control based on multi-innovation stochastic gradient parameter estimation
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Zhang J.B., Ding F., Shi Y. Self-tuning control based on multi-innovation stochastic gradient parameter estimation. Systems & Control Letters 2009, 58(1):69-75.
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Systems & Control Letters
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Zhang, J.B.1
Ding, F.2
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77952585183
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Multi-innovation least squares identification for system modeling
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Ding F., X Liu P., Liu G. Multi-innovation least squares identification for system modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 2010, 40(3):767-778.
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Ding, F.1
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Several multi-innovation identification methods
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Ding F. Several multi-innovation identification methods. Digital Signal Processing 2010, 20(4):1027-1039.
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Digital Signal Processing
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Ding, F.1
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77949486033
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Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems
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Wang D.Q., Ding F. Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems. Digital Signal Processing 2010, 20(3):750-762.
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Digital Signal Processing
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Wang, D.Q.1
Ding, F.2
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40
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3843087260
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Combined parameter and output estimating of dual-rate systems using an auxiliary model
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Ding F., Chen T. Combined parameter and output estimating of dual-rate systems using an auxiliary model. Automatica 2004, 40(10):1739-1748.
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Automatica
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Ding, F.1
Chen, T.2
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41
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25844444580
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Parameter estimation of dual-rate stochastic systems by using an output error method
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Ding F., Chen T. Parameter estimation of dual-rate stochastic systems by using an output error method. IEEE Transactions on Automatic Control 2005, 50(9):1436-1441.
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IEEE Transactions on Automatic Control
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Ding, F.1
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42
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22144498905
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Hierarchical identification of lifted state-space models for general dual-rate systems
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Ding F., Chen T. Hierarchical identification of lifted state-space models for general dual-rate systems. IEEE Transactions on Circuits and Systems-I: Regular Papers 2005, 52(6):1179-1187.
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IEEE Transactions on Circuits and Systems-I: Regular Papers
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Ding, F.1
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33847385393
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A gradient based adaptive control algorithm for dual-rate systems
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Ding F., Chen T. A gradient based adaptive control algorithm for dual-rate systems. Asian Journal of Control 2006, 8(4):314-323.
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Asian Journal of Control
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Ding, F.1
Chen, T.2
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36448956116
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Adaptive digital control of Hammerstein nonlinear systems with limited output sampling
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Ding F., Chen T., Iwai Z. Adaptive digital control of Hammerstein nonlinear systems with limited output sampling. SIAM Journal on Control and Optimization 2007, 45(6):2257-2276.
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SIAM Journal on Control and Optimization
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Ding, F.1
Chen, T.2
Iwai, Z.3
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45
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58349105805
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Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
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Ding F., Qiu L., Chen T. Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems. Automatica 2009, 45(2):324-332.
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Automatica
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Ding, F.1
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Chen, T.3
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67650315437
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An auxiliary model based recursive least squares parameter estimation algorithm for non-uniformly sampled multirate systems
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Liu Y.J., Xie L., Ding F. An auxiliary model based recursive least squares parameter estimation algorithm for non-uniformly sampled multirate systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 2009, 223(4):445-454.
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Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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Liu, Y.J.1
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67949088087
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Output feedback stabilization of networked control systems with random delays modeled by Markov chains
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Shi Y., Yu B. Output feedback stabilization of networked control systems with random delays modeled by Markov chains. IEEE Transactions on Automatic Control 2009, 54(7):1668-1674.
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IEEE Transactions on Automatic Control
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Shi, Y.1
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77955391352
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Partially coupled stochastic gradient identification methods for non-uniformly sampled systems
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Ding F., Liu G., Liu X.P. Partially coupled stochastic gradient identification methods for non-uniformly sampled systems. IEEE Transaction on Automatic Control 2010, 55(8):1976-1981.
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IEEE Transaction on Automatic Control
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Ding, F.1
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Parameter estimation with scarce measurements
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Ding F., Liu G., Liu X.P. Parameter estimation with scarce measurements. Automatica 2011, 47(8):1646-1655.
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Automatica
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Ding, F.1
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Kalman filter based identification for systems with randomly missing measurements in a network environment
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Shi Y., Fang H. Kalman filter based identification for systems with randomly missing measurements in a network environment. International Journal of Control 2010, 83(3):538-551.
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International Journal of Control
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Shi, Y.1
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