-
1
-
-
33847635214
-
On nonparametric identification ofWiener systems
-
M. Pawlak, Z. Hasiewicz, and P. Wachel, On nonparametric identification ofWiener systems, IEEE Trans. Signal Process., vol. 55, no. 2, pp. 482-492, 2007.
-
(2007)
IEEE Trans. Signal Process
, vol.55
, Issue.2
, pp. 482-492
-
-
Pawlak, M.1
Hasiewicz, Z.2
Wachel, P.3
-
2
-
-
0026915065
-
Nonparametric identification ofWiener systems
-
W. Greblicki, Nonparametric identification ofWiener systems, IEEE Trans. Inf. Theory, vol. 38, no. 5, pp. 1487-1493, 1992.
-
(1992)
IEEE Trans. Inf. Theory
, vol.38
, Issue.5
, pp. 1487-1493
-
-
Greblicki, W.1
-
3
-
-
0031164899
-
Nonparametric approach to Wiener system identification
-
W. Greblicki, Nonparametric approach to Wiener system identification, IEEE Trans. Circuits Syst., vol. 44, no. 6, pp. 538-545, 1997.
-
(1997)
IEEE Trans. Circuits Syst.
, vol.44
, Issue.6
, pp. 538-545
-
-
Greblicki, W.1
-
5
-
-
34548499638
-
Identification ofWiener systems with binary-valued output observations
-
Y. Zhao, L.Wang, G. Yin, and J. Zhang, Identification ofWiener systems with binary-valued output observations, Automatica, vol. 43, pp. 1752-1765, 2007.
-
(2007)
Automatica
, vol.43
, pp. 1752-1765
-
-
Zhao, Y.1
Wang, L.2
Yin, G.3
Zhang, J.4
-
6
-
-
79954460407
-
Identification of a class of nonlinear autoregressive with exogenous inputs models based on kernel machines
-
G. Li, C. Wen, W. Zheng, and Y. Chen, Identification of a class of nonlinear autoregressive with exogenous inputs models based on kernel machines, IEEE Trans. Signal Process., vol. 59, no. 5, pp. 2146-2158, 2011.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.5
, pp. 2146-2158
-
-
Li, G.1
Wen, C.2
Zheng, W.3
Chen, Y.4
-
7
-
-
80053980163
-
Convergence of normalized iterative identification of Hammerstein systems
-
G. Li and C.Wen, Convergence of normalized iterative identification of Hammerstein systems, Syst. Control Lett., vol. 60, pp. 929-935, 2011.
-
(2011)
Syst. Control Lett.
, vol.60
, pp. 929-935
-
-
Li, G.1
Wen, C.2
-
8
-
-
78249247743
-
Prediction of oxygen storage capicity and stored NOx using HEGO sensor model for improved LNT control stategies presented at the ASME Int
-
New Orleans, LA
-
L. Y.Wang, Y. Kim, and J. Sun, Prediction of oxygen storage capicity and stored NOx using HEGO sensor model for improved LNT control stategies, presented at the ASME Int. Mechan. Eng. Cong. Expo., New Orleans, LA, 2002.
-
(2002)
Mechan. Eng. Cong. Expo.
-
-
Wang, L.Y.1
Kim, Y.2
Sun, J.3
-
10
-
-
78650751806
-
Error tolerance based support vector machine for regression
-
G. Li, C. Wen, G. B. Huang, and Y. Chen, Error tolerance based support vector machine for regression, Neurocomput., vol. 74, pp. 771-782, 2011.
-
(2011)
Neurocomput
, vol.74
, pp. 771-782
-
-
Li, G.1
Wen, C.2
Huang, G.B.3
Chen, Y.4
-
13
-
-
9144233003
-
Support vector method for robust ARMA system identification
-
J. R. Alvarez, M. M. Ramon, M. P. Cumplido, A. A. Rodriguez, and A. F. Vidal, Support vector method for robust ARMA system identification, IEEE Trans. Signal Process., vol. 52, no. 1, pp. 155-164, 2004.
-
(2004)
IEEE Trans. Signal Process
, vol.52
, Issue.1
, pp. 155-164
-
-
Alvarez, J.R.1
Ramon, M.M.2
Cumplido, M.P.3
Rodriguez, A.A.4
Vidal, A.F.5
-
14
-
-
77957555257
-
Identification of Wiener-Hammerstein systems using LS-SVMs
-
Identificat., Saint-Malo, France Jul. 6-8
-
T. Falck, K. Pelckmans, J. Suykens, and B. De Moor, Identification of Wiener-Hammerstein systems using LS-SVMs, in Proc. 15th IFAC Symp. Syst. Identificat., Saint-Malo, France, Jul. 6-8, 2009, pp. 820-825.
-
(2009)
Proc. 15th IFAC Symp. Syst.
, pp. 820-825
-
-
Falck, T.1
Pelckmans, K.2
Suykens, J.3
De Moor, B.4
-
15
-
-
33847228717
-
Subspace intersection identification of hammerstein-Wiener systems
-
Spain, Dec. 12-15
-
I. Goethals, K. Pelckmans, L. Hoegaerts, J. Suykens, and B. De Moor, Subspace intersection identification of Hammerstein-Wiener systems, in Proc. 44th IEEE Conf. Decision Control, and Eur. Control Conf., Seville, Spain, Dec. 12-15, 2005, pp. 7108-7113.
-
(2005)
Proc. 44th IEEE Conf. Decision Control, and Eur. Control Conf., Seville
, pp. 7108-7113
-
-
Goethals, I.1
Pelckmans, K.2
Hoegaerts, L.3
Suykens, J.4
De Moor, B.5
-
16
-
-
27644524925
-
Subspace identification of Hmamerstein systems using least squares support vectors machines
-
I. Goethals, K. Pelckmans, J. A. K. Suykens, and B. De Moor, Subspace identification of Hmamerstein systems using least squares support vectors machines, IEEE Trans. Autom. Control, vol. 50, no. 10, pp. 1509-1519, 2005.
-
(2005)
IEEE Trans. Autom. Control
, vol.50
, Issue.10
, pp. 1509-1519
-
-
Goethals, I.1
Pelckmans, K.2
Suykens, J.A.K.3
De Moor, B.4
-
17
-
-
0345690126
-
System identification using binary sensors
-
L. Y. Wang, J. F. Zhang, and G. Yin, System identification using binary sensors, IEEE Trans. Autom. Control, vol. 48, no. 11, pp. 1892-1907, 2003.
-
(2003)
IEEE Trans. Autom. Control
, vol.48
, Issue.11
, pp. 1892-1907
-
-
Wang, L.Y.1
Zhang, J.F.2
Yin, G.3
-
18
-
-
77953766665
-
Nonparametric input density-free estimation of the nonlinearity in Wiener systems
-
W. Greblicki, Nonparametric input density-free estimation of the nonlinearity in Wiener systems, IEEE Trans. Inf. Theory, vol. 56, no. 7, pp. 3575-3580, 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, Issue.7
, pp. 3575-3580
-
-
Greblicki, W.1
-
19
-
-
0023430609
-
A trust region algorithm for nonlinearly constrained optimization
-
R. H. Byrd, R. B. Schnabel, and G. A. Schultz, A trust region algorithm for nonlinearly constrained optimization, SIAM J. Numer. Anal., vol. 24, pp. 1152-1170, 1987.
-
(1987)
SIAM J. Numer. Anal.
, vol.24
, pp. 1152-1170
-
-
Byrd, R.H.1
Schnabel, R.B.2
Schultz, G.A.3
-
20
-
-
27644472421
-
Identification of IIR Wiener systems with spline nonlinearities that have variable knots
-
M. C. Hughes and D. T. Westwick, Identification of IIR Wiener systems with spline nonlinearities that have variable knots, IEEE Trans. Autom. Control, vol. 50, no. 10, pp. 1617-1622, 2005.
-
(2005)
IEEE Trans. Autom. Control
, vol.50
, Issue.10
, pp. 1617-1622
-
-
Hughes, M.C.1
Westwick, D.T.2
-
21
-
-
0029393162
-
Estimation of quantized linear errors-in-variables models
-
V. Krishnamarty, Estimation of quantized linear errors-in-variables models, Automatica, vol. 31, pp. 1459-1464, 1995.
-
(1995)
Automatica
, vol.31
, pp. 1459-1464
-
-
Krishnamarty, V.1
-
22
-
-
0000169232
-
An algorithm for least-squares estimation of nonlinear parameters SIAM
-
D. Marquardt, An algorithm for least-squares estimation of nonlinear parameters, SIAM J. Appl. Math., vol. 11, pp. 431-441, 1963.
-
(1963)
J. Appl. Math.
, vol.11
, pp. 431-441
-
-
Marquardt, D.1
-
23
-
-
77958600533
-
Identification of Hammerstein systems with quantized observations SIAM
-
Y. Zhao, J. F. Zhang, Y. Wang, and G. G. Yin, Identification of Hammerstein systems with quantized observations, SIAM J. Control Optim., vol. 48, pp. 4352-4376, 2010.
-
(2010)
J. Control Optim.
, vol.48
, pp. 4352-4376
-
-
Zhao, Y.1
Zhang, J.F.2
Wang, Y.3
Yin, G.G.4
-
24
-
-
0030214237
-
Linear systems identification from random threshold binary data
-
E. Rafaljowicz, Linear systems identification from random threshold binary data, IEEE Trans. Signal Process., vol. 44, no. 8, pp. 2064-2070, 1996.
-
(1996)
IEEE Trans. Signal Process.
, vol.44
, Issue.8
, pp. 2064-2070
-
-
Rafaljowicz, E.1
-
25
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
T. Zhang, Statistical behavior and consistency of classification methods based on convex risk minimization, Ann. Stat., vol. 32, pp. 56-134, 2004.
-
(2004)
Ann. Stat.
, vol.32
, pp. 56-134
-
-
Zhang, T.1
-
26
-
-
0001954668
-
Necessary and sufficient conditions for the uniform convergence of their expectations
-
V. Vapnik and A. Chervonenkis, Necessary and sufficient conditions for the uniform convergence of their expectations, Theory Probab. Appl., vol. 26, pp. 532-553, 1981.
-
(1981)
Theory Probab. Appl.
, vol.26
, pp. 532-553
-
-
Vapnik, V.1
Chervonenkis, A.2
-
27
-
-
0000864140
-
The necessary and sufficient conditions for consitency in the empirical risk minimizations method
-
V. Vapnik and A. Chervonenkis, The necessary and sufficient conditions for consitency in the empirical risk minimizations method, Pattern Recognit. Image Anal., vol. 1, pp. 283-305, 1991.
-
(1991)
Pattern Recognit. Image Anal.
, vol.1
, pp. 283-305
-
-
Vapnik, V.1
Chervonenkis, A.2
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