Wavelet Fuzzy Neural Supertwisting Sliding Mode Control of an Active Power Filter-Reference-Cited by-同舟云学术

Wavelet Fuzzy Neural Supertwisting Sliding Mode Control of an Active Power Filter

Published:2023-11 Issue:11 Volume:31 Page:4051-4063
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Fei Juntao¹^ORCID,Zhang Lei²^ORCID,Zhuo Jie²,Fang Yunmei³

Affiliation:

1. College of Information Science and Engineering, College of Artificial Intelligence and Automation, Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Hohai University, Changzhou, China

2. College of Information Science and Engineering, Hohai University, Changzhou, China

3. College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10303750/10124717.pdf?arnumber=10124717

Reference39 articles.

1. Fractional-Order Finite-Time Super-Twisting Sliding Mode Control of Micro Gyroscope Based on Double-Loop Fuzzy Neural Network

2. Development of Intelligent Controlled Microgrid for Power Sharing and Load Shedding

3. Iterative Super-Twisting Sliding Mode Control for Tray Indexing System With Unknown Dynamics

4. Adaptive learning control for finite interval tracking based on constructive function approximation and wavelet;xu;IEEE Trans Neural Netw,2011

5. Adaptive RBF neural network based on sliding mode controller for active power filter

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