Modeling of nonlinear dynamic systems via discrete-time recurrent neural networks and variational training algorithm

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791) ◽

10.1109/is.2004.1344645 ◽

2004 ◽

Author(s):

S.V. Minchev ◽

G.I. Venkov

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Training Algorithm

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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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Neural networks for tracking of unknown SISO discrete-time nonlinear dynamic systems

ISA Transactions ◽

10.1016/j.isatra.2015.09.003 ◽

2015 ◽

Vol 59 ◽

pp. 363-374 ◽

Cited By ~ 8

Author(s):

Muhammad Saleheen Aftab ◽

Muhammad Shafiq

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems

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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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Robust training algorithm of multilayered neural networks for identification of nonlinear dynamic systems

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:19981614 ◽

1998 ◽

Vol 145 (1) ◽

pp. 41-46 ◽

Cited By ~ 21

Author(s):

Q. Song

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Training Algorithm

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Adaptive Fuzzy Neural Networks as identifiers of discrete-time nonlinear dynamic systems

Journal of Intelligent & Robotic Systems ◽

10.1007/bf00776507 ◽

1996 ◽

Vol 17 (2) ◽

pp. 119-168 ◽

Cited By ~ 4

Author(s):

John Theocharis ◽

George Vachtsevanos

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Fuzzy Neural Networks ◽

Nonlinear Dynamic Systems ◽

Adaptive Fuzzy ◽

Fuzzy Neural

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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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Discussion of stability on recurrent neural networks for nonlinear dynamic systems

2012 7th International Conference on Computer Science & Education (ICCSE) ◽

10.1109/iccse.2012.6295045 ◽

2012 ◽

Cited By ~ 1

Author(s):

Liu Lisang ◽

Peng Xiafu

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems

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Robust training algorithm of multi-layered neural networks for identification of nonlinear dynamic systems

Proceedings of the 1997 American Control Conference (Cat. No.97CH36041) ◽

10.1109/acc.1997.609162 ◽

1997 ◽

Author(s):

Q. Song ◽

M.J. Grimble

Keyword(s):

Neural Networks ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Training Algorithm

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Identification of nonlinear dynamic systems with recurrent neural networks and Kalman filter methods

1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96 ◽

10.1109/iscas.1996.541603 ◽

2002 ◽

Cited By ~ 4

Author(s):

S. Straub ◽

D. Schroder

Keyword(s):

Neural Networks ◽

Kalman Filter ◽

Dynamic Systems ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Filter Methods

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Constructing the Global Convergent Set for Linear Discrete-Time Systems in Parameter Variation Space with Applications to Nonlinear Dynamic Systems

2018 World Automation Congress (WAC) ◽

10.23919/wac.2018.8430449 ◽

2018 ◽

Author(s):

Mansour Eslami

Keyword(s):

Discrete Time ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Parameter Variation ◽

Nonlinear Dynamic Systems ◽

Discrete Time Systems ◽

Time Systems

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