Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory

Yihong Zhou; Fengying Ma; Feng Ding; Ling Xu; Ahmed Alsaedi; Tasawar Hayat

doi:10.1002/rnc.5200

Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5200 ◽

2020 ◽

Vol 30 (17) ◽

pp. 7619-7634

Author(s):

Yihong Zhou ◽

Fengying Ma ◽

Feng Ding ◽

Ling Xu ◽

Ahmed Alsaedi ◽

...

Keyword(s):

Parameter Identification ◽

Radial Basis Function ◽

Basis Function ◽

State Dependent ◽

Radial Basis ◽

Filtering Technique

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Design of Radial Basis Function Network and State-Dependent LQT for Path Planning and Tracking of Autonomous Underwater Vehicle (AUV) to Intercept A Moving Target

2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME) ◽

10.1109/bicame45512.2018.1570497166 ◽

2018 ◽

Author(s):

Thorikul Huda ◽

Rahma Nur Amalia ◽

Katjuk Astrowulan ◽

Aries Sulisetyono

Keyword(s):

Path Planning ◽

Radial Basis Function ◽

Basis Function ◽

Autonomous Underwater Vehicle ◽

Radial Basis Function Network ◽

Underwater Vehicle ◽

Moving Target ◽

State Dependent ◽

Radial Basis ◽

Function Network

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Parameter Identification Method for Wireless Power Transmission System Based on Radial Basis Function Neural Network

2018 Chinese Automation Congress (CAC) ◽

10.1109/cac.2018.8623251 ◽

2018 ◽

Author(s):

Shiyuan Jia ◽

Zhenyu Chen ◽

Bingjie Xi

Keyword(s):

Neural Network ◽

Parameter Identification ◽

Radial Basis Function ◽

Basis Function ◽

Power Transmission ◽

Transmission System ◽

Wireless Power ◽

Identification Method ◽

Power Transmission System ◽

Radial Basis

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Structured parameter optimization method for the radial basis function-based state-dependent autoregressive model

International Journal of Systems Science ◽

10.1080/0020772021000059753 ◽

2002 ◽

Vol 33 (13) ◽

pp. 1087-1098 ◽

Cited By ~ 8

Author(s):

H. Peng ◽

T. Ozaki ◽

V. Haggan-Ozaki ◽

Y. Toyoda

Keyword(s):

Radial Basis Function ◽

Parameter Optimization ◽

Basis Function ◽

Autoregressive Model ◽

Optimization Method ◽

State Dependent ◽

Radial Basis

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Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4890 ◽

2020 ◽

Vol 30 (6) ◽

pp. 2475-2492 ◽

Cited By ~ 1

Author(s):

Yihong Zhou ◽

Feng Ding ◽

Yan Ji ◽

Tasawar Hayat

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Autoregressive Model ◽

Recursive Methods ◽

State Dependent ◽

Radial Basis

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Modeling Nonlinear Processes Using the Radial Basis Function-Based State-Dependent Autoregressive Models

IEEE Signal Processing Letters ◽

10.1109/lsp.2020.3021925 ◽

2020 ◽

Vol 27 ◽

pp. 1600-1604

Author(s):

Yihong Zhou ◽

Feng Ding

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Autoregressive Models ◽

Nonlinear Processes ◽

State Dependent ◽

Radial Basis

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Application of a Radial Basis Function Neural Network for the Inverse Electromagnetic Problem of Parameter Identification

2007 IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.2007.4375069 ◽

2007 ◽

Author(s):

T. Hacib ◽

M. R. Mekideche ◽

N. Ferkha ◽

N. Ikhlef ◽

H. Bouridah

Keyword(s):

Neural Network ◽

Parameter Identification ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis

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Nonlinear time series modelling with the radial basis function-based state-dependent autoregressive model

International Journal of Systems Science ◽

10.1080/002077299292038 ◽

1999 ◽

Vol 30 (7) ◽

pp. 717-727 ◽

Cited By ~ 37

Author(s):

Zhaoyun Shi ◽

Yoshiyasu Tamura ◽

Tohru Ozaki

Keyword(s):

Time Series ◽

Radial Basis Function ◽

Basis Function ◽

Autoregressive Model ◽

Nonlinear Time Series ◽

State Dependent ◽

Time Series Modelling ◽

Radial Basis

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Performance Comparison of Generalized Regression Network, Radial Basis Function Network and Support Vector Regression for Wind Power Forecasting

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v12i1.15781 ◽

2019 ◽

Vol 12 (1) ◽

pp. 16

Author(s):

Jyothi Varanasi ◽

Madan Mohan Tripathi

Keyword(s):

Radial Basis Function ◽

Support Vector Regression ◽

Wind Power ◽

Basis Function ◽

Radial Basis Function Network ◽

Performance Comparison ◽

Support Vector ◽

Wind Power Forecasting ◽

Radial Basis ◽

Function Network

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ANALYSIS OF A SHORT BANANA FIBER-REINFORCED HDPE/POLY (∈-CAPROLACTONE) SKEW COMPOSITE PLATE USING THE MULTIQUADRIC RADIAL BASIS FUNCTION METHOD

Composites Mechanics Computations Applications An International Journal ◽

10.1615/compmechcomputapplintj.v2.i3.30 ◽

2011 ◽

Vol 2 (3) ◽

pp. 195-221

Author(s):

Raghvendra Misra ◽

P. C. Mishra ◽

Sandeep Kumar

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Composite Plate ◽

Function Method ◽

Fiber Reinforced ◽

Banana Fiber ◽

Radial Basis ◽

Poly Caprolactone ◽

Radial Basis Function Method

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Study of Fast Prediction Method for Transonic Flutter Boundary Using Radial Basis Function

AEROSPACE TECHNOLOGY JAPAN THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/astj.jsass-d-17-00087 ◽

2019 ◽

Vol 18 (0) ◽

pp. 133-141

Author(s):

Yuta SAWAKI ◽

Yuichi KUYA ◽

Keisuke SAWADA

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Prediction Method ◽

Radial Basis ◽

Transonic Flutter ◽

Flutter Boundary ◽

Fast Prediction

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