Nonlinear dynamic system identification using radial basis function networks

Proceedings of 35th IEEE Conference on Decision and Control ◽

10.1109/cdc.1996.574580 ◽

2002 ◽

Author(s):

X.-F. Ni ◽

S.J.R. Simons

Keyword(s):

System Identification ◽

Dynamic System ◽

Radial Basis Function ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Radial Basis Function Networks ◽

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Recursive hybrid algorithm for non-linear system identification using radial basis function networks

International Journal of Control ◽

10.1080/00207179208934272 ◽

1992 ◽

Vol 55 (5) ◽

pp. 1051-1070 ◽

Author(s):

S. CHEN ◽

S. A. BILLINGS ◽

P. M. GRANT

Keyword(s):

System Identification ◽

Linear System ◽

Radial Basis Function ◽

Basis Function ◽

Hybrid Algorithm ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Linear System Identification ◽

Non Linear System

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Dynamic System Identification using Recurrent Radial Basis Function Network

1993 American Control Conference ◽

10.23919/acc.1993.4793433 ◽

1993 ◽

Author(s):

X. Ye ◽

N.K. Loh

Keyword(s):

System Identification ◽

Dynamic System ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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Modeling non-stationary dynamic system using recurrent radial basis function networks

6th Seminar on Neural Network Applications in Electrical Engineering NEUREL-02 ◽

10.1109/neurel.2002.1057961 ◽

2004 ◽

Author(s):

B. Todorovic ◽

M. Stankovic ◽

C. Moraga

Keyword(s):

Dynamic System ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

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Advantages of Radial Basis Function Networks for Dynamic System Design

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2011.2164773 ◽

2011 ◽

Vol 58 (12) ◽

pp. 5438-5450 ◽

Author(s):

Hao Yu ◽

Tiantian Xie ◽

Stanisław Paszczynski ◽

Bogdan M. Wilamowski

Keyword(s):

Dynamic System ◽

Radial Basis Function ◽

System Design ◽

Basis Function ◽

Radial Basis Function Networks ◽

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Radial basis function networks with hybrid learning for system identification with outliers

Applied Soft Computing ◽

10.1016/j.asoc.2010.12.010 ◽

2011 ◽

Vol 11 (3) ◽

pp. 3083-3092 ◽

Author(s):

Yu-Yi Fu ◽

Chia-Ju Wu ◽

Chia-Nan Ko ◽

Jin-Tsong Jeng

Keyword(s):

System Identification ◽

Radial Basis Function ◽

Basis Function ◽

Hybrid Learning ◽

Radial Basis Function Networks ◽

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Identification of nonlinear dynamic systems classical methods versus radial basis function networks

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.533847 ◽

2005 ◽

Author(s):

O. Nelles ◽

R. Isermann

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

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On training radial basis function networks as series-parallel and parallel models for identification of nonlinear dynamic systems

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century ◽

10.1109/icsmc.1995.538522 ◽

2002 ◽

Author(s):

O. Nelles

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Parallel Models

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A New Scheme of Nonlinear Continuous System Identification Using Radial Basis Function Networks

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss1987.120.8-9_1142 ◽

2000 ◽

Vol 120 (8-9) ◽

pp. 1142-1148

Author(s):

Yannian LIU ◽

Masaki YAMAKITA

Keyword(s):

System Identification ◽

Radial Basis Function ◽

Basis Function ◽

Continuous System ◽

Radial Basis Function Networks ◽

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Identification of nonlinear dynamic processes based on dynamic radial basis function networks

10.1117/12.235971 ◽

1996 ◽

Author(s):

Mihiar Ayoubi ◽

Rolf Isermann

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Nonlinear Dynamic ◽

Dynamic Processes ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Nonlinear Dynamic Processes

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Annealing Robust Radial Basis Function Networks with Support Vector Regression for Nonlinear Inverse System Identification with Outliers

Journal of Vibration and Control ◽

10.1177/1077546309346235 ◽

2010 ◽

Vol 16 (13) ◽

pp. 1915-1940 ◽

Author(s):

Yu-Yi Fu ◽

Chia-Ju Wu ◽

Jin-Tsong Jeng ◽

Chia-Nan Ko

Keyword(s):

System Identification ◽

Radial Basis Function ◽

Support Vector Regression ◽

Basis Function ◽

Inverse System ◽

Support Vector ◽

Radial Basis Function Networks ◽

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