Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems

Computers & Electrical Engineering ◽

10.1016/s0045-7906(00)00039-2 ◽

2002 ◽

Vol 28 (2) ◽

pp. 103-117 ◽

Author(s):

T.K. Leong ◽

P. Saratchandran ◽

N. Sundararajan

Keyword(s):

Performance Evaluation ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Varying ◽

Time Performance ◽

Radial Basis ◽

Function Network

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Real-Time Identification of Nonlinear Time-Varying Systems Using Radial Basis Function Network

Cybernetics and Systems Analysis ◽

10.1023/b:casa.0000020236.15477.4a ◽

2003 ◽

Vol 39 (6) ◽

pp. 927-934 ◽

Author(s):

O. G. Rudenko ◽

A. A. Bessonov

Keyword(s):

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Varying ◽

Radial Basis ◽

Time Varying Systems ◽

Real Time Identification ◽

Function Network

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Stability Analysis of Nonlinear Systems via Estimating Radial-Basis-Function-Network-Based Lyapunov Exponents From a Scalar Time Series

Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; ◽

10.1115/dscc2012-movic2012-8508 ◽

2012 ◽

Author(s):

Yuming Sun ◽

Qiong Wu

Keyword(s):

Time Series ◽

Stability Analysis ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Lyapunov Exponents ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network ◽

Scalar Time Series

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On the persistency of excitation in radial basis function network identification of nonlinear systems

IEEE Transactions on Neural Networks ◽

10.1109/72.410365 ◽

1995 ◽

Vol 6 (5) ◽

pp. 1237-1244 ◽

Author(s):

D. Gorinevsky

Keyword(s):

Nonlinear Systems ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Network Identification ◽

Persistency Of Excitation ◽

Function Network

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Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2007.909842 ◽

2008 ◽

Vol 19 (3) ◽

pp. 460-474 ◽

Author(s):

Jianming Lian ◽

Yonggon Lee ◽

S.D. Sudhoff ◽

S.H. Zak

Keyword(s):

Dynamical Systems ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Continuous Time ◽

Radial Basis Function Network ◽

Time Approximation ◽

Radial Basis ◽

Function Network ◽

Self Organizing

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Use of Adaptive Learning Radial Basis Function Network in Real-Time Motion Tracking of a Robot Manipulator

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11539902_139 ◽

2005 ◽

pp. 1099-1108

Author(s):

Dongwon Kim ◽

Sung-Hoe Huh ◽

Sam-Jun Seo ◽

Gwi-Tae Park

Keyword(s):

Radial Basis Function ◽

Real Time ◽

Adaptive Learning ◽

Basis Function ◽

Motion Tracking ◽

Robot Manipulator ◽

Radial Basis Function Network ◽

Time Motion ◽

Radial Basis ◽

Function Network

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Performance evaluation of Gaussian radial basis function network classifiers

Proceedings IEEE SoutheastCon 2002 (Cat. No.02CH37283) ◽

10.1109/secon.2002.995619 ◽

2003 ◽

Author(s):

R. Li ◽

G. Lebby ◽

S. Baghavan

Keyword(s):

Performance Evaluation ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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Real-Time Data-Reusing Adaptive Learning of a Radial Basis Function Network for Tracking Evoked Potentials

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2005.862540 ◽

2006 ◽

Vol 53 (2) ◽

pp. 226-237 ◽

Author(s):

W. Qiu ◽

C. Chang ◽

W. Liu ◽

P.W.F. Poon ◽

Y. Hu ◽

...

Keyword(s):

Evoked Potentials ◽

Radial Basis Function ◽

Real Time ◽

Adaptive Learning ◽

Basis Function ◽

Radial Basis Function Network ◽

Time Data ◽

Real Time Data ◽

Radial Basis ◽

Function Network

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Adaptive tree-structured self-generating radial basis function network and its performance evaluation

International Journal of Approximate Reasoning ◽

10.1016/0888-613x(95)00054-k ◽

1995 ◽

Vol 13 (4) ◽

pp. 303-326

Author(s):

Masahide Watanabe ◽

Kaihei Kuwata ◽

Ryu Katayama

Keyword(s):

Performance Evaluation ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

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A radial-basis-function network-based method of estimating Lyapunov exponents from a scalar time series for analyzing nonlinear systems stability

Nonlinear Dynamics ◽

10.1007/s11071-012-0567-z ◽

2012 ◽

Vol 70 (2) ◽

pp. 1689-1708 ◽

Author(s):

Yuming Sun ◽

Christine Qiong Wu

Keyword(s):

Time Series ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Lyapunov Exponents ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network ◽

Scalar Time Series

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Sequential learning radial basis function network for real-time tidal level predictions

Ocean Engineering ◽

10.1016/j.oceaneng.2012.08.012 ◽

2013 ◽

Vol 57 ◽

pp. 49-55 ◽

Author(s):

Jian-chuan Yin ◽

Zao-jian Zou ◽

Feng Xu

Keyword(s):

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Radial Basis Function Network ◽

Sequential Learning ◽

Tidal Level ◽

Radial Basis ◽

Function Network

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