-
1
-
-
13644265158
-
A novel neural approximate inverse control for unknown nonlinear discrete dynamical systems
-
H. Deng and H.-X. Li, "A novel neural approximate inverse control for unknown nonlinear discrete dynamical systems", IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, vol. 35, no. 1, pp. 115-123, 2005.
-
(2005)
IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics
, vol.35
, Issue.1
, pp. 115-123
-
-
Deng, H.1
Li, H.-X.2
-
2
-
-
84903544341
-
Research of smart car's speed control based on the internalmodel control
-
H. Yu, H. R. Karimi, and X. Zhu, "Research of smart car's speed control based on the internalmodel control", Abstract and Applied Analysis, vol. 2014, Article ID 274293, 5 pages, 2014.
-
(2014)
Abstract and Applied Analysis
, vol.2014
-
-
Yu, H.1
Karimi, H.R.2
Zhu, X.3
-
3
-
-
0033640645
-
Nonlinear internal model control using neural networks: Application to processes with delay and design issues
-
I. Rivals and L. Personnaz, "Nonlinear internal model control using neural networks: application to processes with delay and design issues", IEEE Transactions onNeuralNetworks, vol. 11, no. 1, pp. 80-90, 2000.
-
(2000)
IEEE Transactions onNeuralNetworks
, vol.11
, Issue.1
, pp. 80-90
-
-
Rivals, I.1
Personnaz, L.2
-
4
-
-
40749135026
-
SVM approximate-based internal model control strategy
-
Y.-N. Wang and X.-F. Yuan, "SVM approximate-based internal model control strategy", Acta Automatica Sinica, vol. 34, no. 2, pp. 172-179, 2008.
-
(2008)
Acta Automatica Sinica
, vol.34
, Issue.2
, pp. 172-179
-
-
Wang, Y.-N.1
Yuan, X.-F.2
-
5
-
-
0033640645
-
Nonlinear internal model control using neural networks: Application to processes with delay and design issues
-
I. Rivals and L. Personnaz, "Nonlinear internal model control using neural networks: application to processes with delay and design issues", IEEE Transactions onNeuralNetworks, vol. 11, no. 1, pp. 80-90, 2000.
-
(2000)
IEEE Transactions onNeuralNetworks
, vol.11
, Issue.1
, pp. 80-90
-
-
Rivals, I.1
Personnaz, L.2
-
6
-
-
33646520545
-
An approximate internal model-based neural control for unknown nonlinear discrete processes
-
H.-X. Li and H. Deng, "An approximate internal model-based neural control for unknown nonlinear discrete processes", IEEE Transactions on Neural Networks, vol. 17, no. 3, pp. 659-670, 2006.
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.3
, pp. 659-670
-
-
Li, H.-X.1
Deng, H.2
-
8
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: theory and applications", Neurocomputing, vol. 70, no. 1-3, pp. 489-501, 2006.
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
9
-
-
34548158996
-
Convex incremental extreme learning machine
-
G.-B. Huang and L. Chen, "Convex incremental extreme learning machine", Neurocomputing, vol. 70, no. 16-18, pp. 3056-3062, 2007.
-
(2007)
Neurocomputing
, vol.70
, Issue.16-18
, pp. 3056-3062
-
-
Huang, G.-B.1
Chen, L.2
-
10
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
G.-B. Huang and L. Chen, "Enhanced random search based incremental extreme learning machine", Neurocomputing, vol. 71, no. 16-18, pp. 3460-3468, 2008.
-
(2008)
Neurocomputing
, vol.71
, Issue.16-18
, pp. 3460-3468
-
-
Huang, G.-B.1
Chen, L.2
-
11
-
-
84877842720
-
Automatic recognition of epileptic EEG patterns via Extreme Learning Machine and multiresolution feature extraction
-
Y. Song and J. Zhang, "Automatic recognition of epileptic EEG patterns via Extreme Learning Machine and multiresolution feature extraction", Expert SystemswithApplications, vol. 40, no. 14, pp. 5477-5489, 2013.
-
(2013)
Expert SystemswithApplications
, vol.40
, Issue.14
, pp. 5477-5489
-
-
Song, Y.1
Zhang, J.2
-
12
-
-
84865739581
-
Extreme learning machine-based device displacement free activity recognition model
-
Y. Chen, Z. Zhao, S. Wang, and Z. Chen, "Extreme learning machine-based device displacement free activity recognition model", Soft Computing, vol. 16, no. 9, pp. 1617-1625, 2012.
-
(2012)
Soft Computing
, vol.16
, Issue.9
, pp. 1617-1625
-
-
Chen, Y.1
Zhao, Z.2
Wang, S.3
Chen, Z.4
-
13
-
-
84912119287
-
Fast online learning algorithm for landmark recognition based on BoW framework
-
J. Cao, T. Chen, and J. Fan, "Fast online learning algorithm for landmark recognition based on BoW framework", in Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications, pp. 1163-1168, 2014.
-
(2014)
Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications
, pp. 1163-1168
-
-
Cao, J.1
Chen, T.2
Fan, J.3
-
14
-
-
84893049069
-
Real-time fault diagnosis for gas turbine generator systems using extreme learningmachine
-
P. K. Wong, Z. Yang, C. M. Vong, and J. Zhong, "Real-time fault diagnosis for gas turbine generator systems using extreme learningmachine", Neurocomputing, vol. 128, pp. 249-257, 2014.
-
(2014)
Neurocomputing
, vol.128
, pp. 249-257
-
-
Wong, P.K.1
Yang, Z.2
Vong, C.M.3
Zhong, J.4
-
15
-
-
55949118135
-
A protein secondary structure prediction framework based on the Extreme Learning Machine
-
G. Wang, Y. Zhao, and D. Wang, "A protein secondary structure prediction framework based on the Extreme Learning Machine", Neurocomputing, vol. 72, no. 1-3, pp. 262-268, 2008.
-
(2008)
Neurocomputing
, vol.72
, Issue.1-3
, pp. 262-268
-
-
Wang, G.1
Zhao, Y.2
Wang, D.3
-
17
-
-
84912098851
-
Resolving power of algorithm for solving the coefficient inverse problem for the geoelectric equation
-
K. T. Iskakov and Z. O. Oralbekova, "Resolving power of algorithm for solving the coefficient inverse problem for the geoelectric equation", Mathematical Problems in Engineering, vol. 2014, Article ID545689, 9 pages, 2014.
-
(2014)
Mathematical Problems in Engineering
, vol.2014
, pp. 9
-
-
Iskakov, K.T.1
Oralbekova, Z.O.2
-
18
-
-
80053915462
-
Identification of uncertain MIMO Wiener and Hammersteinmodels
-
S. I. Biagiola and J. L. Figueroa, "Identification of uncertain MIMO Wiener and Hammersteinmodels", Computers & Chemical Engineering, vol. 35, no. 12, pp. 2867-2875, 2011.
-
(2011)
Computers & Chemical Engineering
, vol.35
, Issue.12
, pp. 2867-2875
-
-
Biagiola, S.I.1
Figueroa, J.L.2
-
19
-
-
84897029535
-
Identification of nonlinear system using extreme learning machine based Hammerstein model
-
Y. Tang, Z. Li, and X. Guan, "Identification of nonlinear system using extreme learning machine based Hammerstein model", Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 9, pp. 3171-3183, 2014.
-
(2014)
Communications in Nonlinear Science and Numerical Simulation
, vol.19
, Issue.9
, pp. 3171-3183
-
-
Tang, Y.1
Li, Z.2
Guan, X.3
-
20
-
-
84871271512
-
Identification of Hammerstein-Wiener models
-
A. Wills, T. B. Schön, L. Ljung, and B. Ninness, "Identification of Hammerstein-Wiener models", Automatica, vol. 49, no. 1, pp. 70-81, 2013.
-
(2013)
Automatica
, vol.49
, Issue.1
, pp. 70-81
-
-
Wills, A.1
Schön, T.B.2
Ljung, L.3
Ninness, B.4
-
21
-
-
55649109065
-
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
-
D. Wang and F. Ding, "Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems", Computers and Mathematics with Applications, vol. 56, no. 12, pp. 3157-3164, 2008.
-
(2008)
Computers and Mathematics with Applications
, vol.56
, Issue.12
, pp. 3157-3164
-
-
Wang, D.1
Ding, F.2
-
22
-
-
33947177631
-
Modeling of pH process using wavenet based Hammerstein model
-
J. G. Smith, S. Kamat, and K. P. Madhavan, "Modeling of pH process using wavenet based Hammerstein model", Journal of Process Control, vol. 17, no. 6, pp. 551-561, 2007.
-
(2007)
Journal of Process Control
, vol.17
, Issue.6
, pp. 551-561
-
-
Smith, J.G.1
Kamat, S.2
Madhavan, K.P.3
-
23
-
-
84877834689
-
Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process
-
L. Zhou, X. Li, and F. Pan, "Gradient-based iterative identification for MISO Wiener nonlinear systems: application to a glutamate fermentation process", Applied Mathematics Letters, vol. 26, no. 8, pp. 886-892, 2013.
-
(2013)
Applied Mathematics Letters
, vol.26
, Issue.8
, pp. 886-892
-
-
Zhou, L.1
Li, X.2
Pan, F.3
-
24
-
-
0032123629
-
A hybrid linear/nonlinear training algorithm for feedforward neural networks
-
S. McLoone, M. D. Brown, G. Irwin, and G. Lightbody, "A hybrid linear/nonlinear training algorithm for feedforward neural networks", IEEE Transactions on Neural Networks, vol. 9, no. 4, pp. 669-684, 1998.
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
, Issue.4
, pp. 669-684
-
-
McLoone, S.1
Brown, M.D.2
Irwin, G.3
Lightbody, G.4
-
25
-
-
0037359808
-
Aparameter optimization method for radial basis function type models
-
H. Peng, T. Ozaki, V. Haggan-Ozaki, and Y. Toyoda, "Aparameter optimization method for radial basis function type models", IEEE Transactions on Neural Networks, vol. 14, no. 2, pp. 432-438, 2003.
-
(2003)
IEEE Transactions on Neural Networks
, vol.14
, Issue.2
, pp. 432-438
-
-
Peng, H.1
Ozaki, T.2
Haggan-Ozaki, V.3
Toyoda, Y.4
-
26
-
-
0347270155
-
RBF-ARX model-based nonlinear system modeling and predictive control with application to a NOx decomposition process
-
H. Peng, T. Ozaki, Y. Toyoda et al., "RBF-ARX model-based nonlinear system modeling and predictive control with application to a NOx decomposition process", Control Engineering Practice, vol. 12, no. 2, pp. 191-203, 2004.
-
(2004)
Control Engineering Practice
, vol.12
, Issue.2
, pp. 191-203
-
-
Peng, H.1
Ozaki, T.2
Toyoda, Y.3
-
27
-
-
84655163146
-
Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model
-
B. Hu, Z. Zhao, and J. Liang, "Multi-loop nonlinear internal model controller design under nonlinear dynamic PLS framework using ARX-neural network model", Journal of Process Control, vol. 22, no. 1, pp. 207-217, 2012.
-
(2012)
Journal of Process Control
, vol.22
, Issue.1
, pp. 207-217
-
-
Hu, B.1
Zhao, Z.2
Liang, J.3
-
28
-
-
0001484806
-
A hybrid quasi-ARMAX modeling scheme for identification of nonlinear systems
-
J. Hu, K. Kumamaru, and K. Inoue, "A hybrid quasi-ARMAX modeling scheme for identification of nonlinear systems", Transactions of the Society of Instrument and Control Engineers, vol. 34, no. 8, pp. 977-985, 1998.
-
(1998)
Transactions of the Society of Instrument and Control Engineers
, vol.34
, Issue.8
, pp. 977-985
-
-
Hu, J.1
Kumamaru, K.2
Inoue, K.3
-
30
-
-
0032182666
-
A local model networks based multivariable long-range predictive control strategy for thermal power plants
-
G. Prasad, E. Swidenbank, and B. W. Hogg, "A local model networks based multivariable long-range predictive control strategy for thermal power plants", Automatica, vol. 34, no. 10, pp. 1185-1204, 1998.
-
(1998)
Automatica
, vol.34
, Issue.10
, pp. 1185-1204
-
-
Prasad, G.1
Swidenbank, E.2
Hogg, B.W.3
-
32
-
-
0032592825
-
Intelligent process control using neural fuzzy techniques
-
C.-T. Chen and S.-T. Peng, "Intelligent process control using neural fuzzy techniques", Journal of Process Control, vol. 9, no. 6, pp. 493-503, 1999.
-
(1999)
Journal of Process Control
, vol.9
, Issue.6
, pp. 493-503
-
-
Chen, C.-T.1
Peng, S.-T.2
-
33
-
-
0033117272
-
Learning control of process systems with hard input constraints
-
C.-T. Chen and S.-T. Peng, "Learning control of process systems with hard input constraints", Journal of Process Control, vol. 9, no. 2, pp. 151-160, 1999.
-
(1999)
Journal of Process Control
, vol.9
, Issue.2
, pp. 151-160
-
-
Chen, C.-T.1
Peng, S.-T.2
|