Robust intelligent control for a class of power-electronic converters using neuro-fuzzy learning mechanism

S Hou, Y Chu, J Fei - IEEE Transactions on Power Electronics, 2021 - ieeexplore.ieee.org
This article considers a robust intelligent control problem for a class of power-electronic
converters via a neuro-fuzzy learning mechanism. First, a terminal sliding-mode control …
被引用次数：33 相关文章 所有 2 个版本

Adaptive type-2 fuzzy neural network inherited terminal sliding mode control for power quality improvement

S Hou, Y Chu, J Fei - IEEE transactions on industrial informatics, 2021 - ieeexplore.ieee.org
This article proposes an adaptive type-2 fuzzy neural network control system to enhance the
performance of power quality improvement. First, the dynamic model of APF with lumped …
被引用次数：53 相关文章

Finite-time adaptive fuzzy-neural-network control of active power filter

S Hou, J Fei, C Chen, Y Chu - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy-neural-network (AFNN) control using nonsingular terminal
sliding mode control is proposed for active power filter (APF) as a current controller to …
被引用次数：138 相关文章 所有 3 个版本

Adaptive fuzzy-neural-network design for voltage tracking control of a DC–DC boost converter

RJ Wai, LC Shih - IEEE transactions on power electronics, 2011 - ieeexplore.ieee.org
In this study, an adaptive fuzzy-neural-network control (AFNNC) scheme is designed for the
voltage tracking control of a conventional dc–dc boost converter. First, the description of the …
被引用次数：174 相关文章 所有 6 个版本

Intelligent global sliding mode control using recurrent feature selection neural network for active power filter

S Hou, Y Chu, J Fei - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
This study develops an intelligent global sliding mode control using recurrent feature
selection neural network for active power filter (APF). First, the dynamic model of an APF is …
被引用次数：58 相关文章

Continuous terminal sliding mode control using novel fuzzy neural network for active power filter

Y Chu, S Hou, J Fei - Control Engineering Practice, 2021 - Elsevier
This study aims to develop a continuous terminal sliding mode control using meta-cognitive
fuzzy neural network for active power filter (APF). Different from conventional sliding mode …
被引用次数：15 相关文章

Design of adaptive fuzzy-neural-network control for a single-stage boost inverter

RJ Wai, YF Lin, YK Liu - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
This study mainly focuses on the development of an adaptive fuzzy-neural-network control
(AFNNC) system for a single-stage boost inverter. First, the dynamic model of a single-stage …
被引用次数：75 相关文章 所有 4 个版本

Intelligent terminal sliding mode control of active power filters by self-evolving emotional neural network

Y Chu, S Fu, S Hou, J Fei - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In this article, a control system based on evolutionary emotional neural network is proposed
for active power filters (APFs) to improve power quality. First, the dynamic model of the APF …
被引用次数：13 相关文章

Extended state observer based interval type-2 fuzzy neural network sliding mode control with its application in active power filter

L Liu, J Fei - IEEE Transactions on Power Electronics, 2021 - ieeexplore.ieee.org
Aiming at the difficulties in modeling the active power filter (APF) system and the
susceptibility to parameter perturbation and external disturbance, this article proposes a new …
被引用次数：22 相关文章 所有 2 个版本
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Adaptive sliding mode long short-term memory fuzzy neural control for harmonic suppression

L Liu, J Fei, C An - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, an adaptive sliding mode controller based on a long and short-term memory
fuzzy neural network (ASMC-LSTMFNN) is proposed to suppress harmonics for an active …
被引用次数：20 相关文章 所有 3 个版本