Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model-Reference-Cited by-同舟云学术

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

Published:2020-01-22 Issue:6 Volume:30 Page:2475-2492
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Zhou Yihong¹^ORCID,Ding Feng¹^ORCID,Ji Yan²^ORCID,Hayat Tasawar³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry, School of Internet of Things EngineeringJiangnan University Wuxi China

2. College of Automation and Electronic EngineeringQingdao University of Science and Technology Qingdao China

3. Department of MathematicsKing Abdulaziz University Jeddah Saudi Arabia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.4890

Reference79 articles.

1. A new hybrid method for time series forecasting: AR–ANFIS

2. Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model

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

4. Adaptive neural network control for a nonlinear Euler‐Bernoulli beam in three‐dimensional space with unknown control direction

5. A global–local optimization approach to parameter estimation of RBF-type models

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