Finite-Time Adaptive Neural Network Observer-Based Output Voltage-Tracking Control for DC–DC Boost Converters-Reference-Cited by-同舟云学术

Finite-Time Adaptive Neural Network Observer-Based Output Voltage-Tracking Control for DC–DC Boost Converters

Published:2023-07 Issue:7 Volume:70 Page:3005-3016
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Wang Yunlong¹^ORCID,Wang Yongfu²,Song Xiangman³,Liang Zhongchao²^ORCID

Affiliation:

1. National Frontiers Science Center for Industrial Intelligence and Systems Optimization and the School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China

2. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China

3. National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China

Funder

Major Program of National Natural Science Foundation of China

111 Project

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/10164683/10164741.pdf?arnumber=10164741

Reference48 articles.

1. An Autotuning Digital Controller for DC–DC Power Converters Based on Online Frequency-Response Measurement

2. Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems

3. Adaptive Tuning of Switched-Mode Power Supplies Operating in Discontinuous and Continuous Conduction Modes

4. Finite-time event-triggered stabilization for discrete-time fuzzy Markov jump singularly perturbed systems;qi;IEEE Trans Cybern,2022

5. A Stabilizing Model Predictive Controller for Voltage Regulation of a DC/DC Boost Converter

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