Comments on "Diagonal recurrent neural networks for dynamic systems control". Reproof of theorems 2 and 4 [with reply]

X. Liang; K.Y. Lee

doi:10.1109/72.572120

Comments on "Diagonal recurrent neural networks for dynamic systems control". Reproof of theorems 2 and 4 [with reply]

IEEE Transactions on Neural Networks ◽

10.1109/72.572120 ◽

1997 ◽

Vol 8 (3) ◽

pp. 811-814 ◽

Cited By ~ 3

Author(s):

X. Liang ◽

K.Y. Lee

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Systems Control

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Diagonal recurrent neural networks for dynamic systems control

IEEE Transactions on Neural Networks ◽

10.1109/72.363441 ◽

1995 ◽

Vol 6 (1) ◽

pp. 144-156 ◽

Cited By ~ 533

Author(s):

Chao-Chee Ku ◽

K.Y. Lee

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Systems Control

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Time-Delay Recurrent Neural Networks for Dynamic Systems Control

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2004 ◽

10.1007/978-3-540-28648-6_16 ◽

2004 ◽

pp. 104-109 ◽

Cited By ~ 2

Author(s):

Xu Xu ◽

Yinghua Lu ◽

Yanchun Liang

Keyword(s):

Neural Networks ◽

Time Delay ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Systems Control

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Dynamic Systems Identification and Control by Means of Complex-Valued Recurrent Neural Networks

Lecture Notes in Computer Science - Advances in Artificial Intelligence and Soft Computing ◽

10.1007/978-3-319-27060-9_27 ◽

2015 ◽

pp. 327-337 ◽

Cited By ~ 2

Author(s):

Ieroham Baruch ◽

Victor Arellano Quintana ◽

Edmundo Pérez Reynaud

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Systems Identification ◽

And Control ◽

Complex Valued

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Neural networks and genetic algorithms for dynamic systems control

IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2002.1173490 ◽

2005 ◽

Author(s):

F. Bouani ◽

K. Abidi ◽

R.B. Abdennour ◽

M. Ksouri

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Dynamic Systems ◽

Systems Control

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Identification of fuzzy dynamic systems using Max–Min recurrent neural networks

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(00)00069-5 ◽

2001 ◽

Vol 122 (3) ◽

pp. 451-467 ◽

Cited By ~ 9

Author(s):

A. Blanco ◽

M. Delgado ◽

M.C. Pegalajar

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks

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Recurrent neural networks control of dynamic systems with unknown input hysteresis

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 ◽

10.1109/icnnsp.2003.1279269 ◽

2003 ◽

Author(s):

Xing-Song Wang ◽

Li Li ◽

Chun-Yi Su ◽

H. Hong

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Unknown Input

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Feedback-error learning scheme using recurrent neural networks for nonlinear dynamic systems

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) ◽

10.1109/icnn.1994.374158 ◽

1994 ◽

Cited By ~ 8

Author(s):

D.H. Rao ◽

D. Bitner ◽

M.M. Gupta

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Learning Scheme ◽

Feedback Error Learning ◽

Feedback Error ◽

Error Learning

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Approximation of non-autonomous dynamic systems by continuous time recurrent neural networks

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.857815 ◽

2000 ◽

Cited By ~ 5

Author(s):

C. Kambhampati ◽

F. Garces ◽

K. Warwick

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Continuous Time

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Internal Model Control using Recurrent Neural Networks for Nonlinear Dynamic Systems

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)36722-8 ◽

2000 ◽

Vol 33 (30) ◽

pp. 7-12

Author(s):

Yan Li ◽

David Powers ◽

Peng Wen

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Internal Model ◽

Internal Model Control ◽

Nonlinear Dynamic Systems ◽

Model Control

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Identification of linear and nonlinear dynamic systems using recurrent neural networks

Artificial Intelligence in Engineering ◽

10.1016/0954-1810(93)90032-b ◽

1993 ◽

Vol 8 (1) ◽

pp. 67-75 ◽

Cited By ~ 26

Author(s):

D.T. Pham ◽

X. Liu

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Linear And Nonlinear

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