Adaptive nonlinear system identification using minimal radial basis function neural networks

Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification

Artificial Neural Networks — ICANN 2002 - Lecture Notes in Computer Science ◽

10.1007/3-540-46084-5_133 ◽

2002 ◽

pp. 819-824 ◽

Cited By ~ 6

Author(s):

Branimir Todorović ◽

Miomir Stanković ◽

Claudio Moraga

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Extended Kalman Filter ◽

Basis Function ◽

Radial Basis Function Network ◽

Radial Basis ◽

Function Network

Complex-Valued Minimal Radial Basis Function Neural Network for Nonlinear System Identification

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)39847-6 ◽

2000 ◽

Vol 33 (15) ◽

pp. 781-786

Author(s):

Deng Jianping ◽

N. Sundararajan ◽

P. Saratchandran

Keyword(s):

Neural Network ◽

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis ◽

Complex Valued

Nonlinear System Identification Using Radial Basis Function-Based Signal-Dependent ARX Model

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)35256-4 ◽

2001 ◽

Vol 34 (6) ◽

pp. 675-680 ◽

Cited By ~ 2

Author(s):

H. Peng ◽

T. Ozaki ◽

Y. Toyoda ◽

K. Oda

Keyword(s):

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Arx Model ◽

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation

10.1109/cdc.2009.5399687 ◽

2009 ◽

Cited By ~ 1

Author(s):

S. Chen ◽

X. Hong ◽

B.L. Luk ◽

C.J. Harris

Keyword(s):

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Function Model ◽

Robust structure selection of radial basis function networks for nonlinear system identification

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889710 ◽

2014 ◽

Author(s):

Pan Qin ◽

Min Han

Keyword(s):

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Structure Selection ◽

Radial Basis ◽

Selection Of

Nonlinear System Identification Based on Radial Basis Function Neural Network Using Improved Particle Swarm Optimization

2009 Fifth International Conference on Natural Computation ◽

10.1109/icnc.2009.233 ◽

2009 ◽

Author(s):

Ji Zhao ◽

Wei Chen ◽

Wenbo Xu

Keyword(s):

Neural Network ◽

Particle Swarm Optimization ◽

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Improved Particle Swarm Optimization

Particle Swarm ◽

Swarm Optimization ◽

On-line control of a nonlinear system using radial basis function neural networks

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.532739 ◽

2005 ◽

Cited By ~ 3

Author(s):

M.A. Shah ◽

P.H. Meckl

Keyword(s):

Neural Networks ◽

Nonlinear System ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis ◽

On Line

Multiobjective Cuckoo Search Applied to Radial Basis Function Neural Networks Training for System Identification

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.01249 ◽

2014 ◽

Vol 47 (3) ◽

pp. 2539-2544 ◽

Cited By ~ 4

Author(s):

Helon Vicente Hultmann Ayala ◽

Leandro dos Santos Coelho

Keyword(s):

Neural Networks ◽

System Identification ◽

Radial Basis Function ◽

Basis Function ◽

Cuckoo Search ◽

Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2021.120209 ◽

2021 ◽

Vol 37 (2) ◽

pp. 128

Author(s):

Mohammad Fahmi Pairan ◽

Syariful Syafiq Shamsudin ◽

Mohd Fauzi Yaakub ◽

Mohd Shazlan Mohd Anwar

Keyword(s):

Neural Networks ◽

System Identification ◽

Radial Basis Function ◽

Real Time ◽

Basis Function ◽

Time System ◽

Real Time System ◽

Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2019.105990 ◽

2020 ◽

Vol 87 ◽

pp. 105990 ◽

Cited By ~ 1

Author(s):

Helon Vicente Hultmann Ayala ◽

Didace Habineza ◽

Micky Rakotondrabe ◽

Leandro dos Santos Coelho

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

System Identification ◽

Radial Basis Function ◽

Basis Function ◽

Black Box ◽

Coevolutionary Algorithms ◽

Radial Basis ◽

Artificial Neural