Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises-Reference-Cited by-同舟云学术

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Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises

Published:2021-03 Issue:4 Volume:358 Page:2576-2595
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhou Yihong,Wang Yanjiao,Ma Fengying,Ding Feng,Hayat Tasawar

Funder

Natural Science Foundation of Guangdong Province

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference83 articles.

1. Parameter estimation for block-oriented nonlinear systems using the key term separation;Ji;Int. J. Robust Nonlinear Control,2020

2. Neural network identification in nonlinear model predictive control for frequent and infrequent operating points using nonlinearity measure;Saki;ISA Trans.,2020

3. Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications;Chen;Inf. Sci.,2018

4. Fuzzy-time-series network used to forecast linear and nonlinear time series;Bas;Appl. Intell.,2015

5. Non-linear time series models for non-linear random vibrations;Ozaki;J. Appl. Probab.,1980

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