Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm-Reference-Cited by-同舟云学术

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Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm

Published:2017-11 Issue: Volume:266 Page:566-578
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Han Hong-Gui,Lin Zheng-Lai,Qiao Jun-Fei

Funder

National Science Foundation of China

Beijing Natural Science Foundation

Major National Science and Technology Project

Ministry of Chinese Education

Beijing Municipal Education Commission Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Nearly optimal sliding mode fault-tolerant control for affine nonlinear systems with state constraints;Fan;Neurocomputing,2016

2. Anti-disturbance tracking control for systems with nonlinear disturbances using T-S fuzzy modeling;Yi;Neurocomputing,2016

3. A novel nonlinear modeling method for permanent-magnet synchronous motors;Luo;IEEE Trans. Industr. Electron.,2016

4. Dynamic tanker steering control using generalized ellipsoidal-basis-function-based fuzzy neural networks;Wang;IEEE Trans. Fuzzy Syst.,2015

5. H∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method;Jiang;Neurocomputing,2017

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