Design of a optimal robust adaptive neural network-based fractional-order PID controller for H-bridge single-phase inverter-Reference-Cited by-同舟云学术

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Design of a optimal robust adaptive neural network-based fractional-order PID controller for H-bridge single-phase inverter

Published:2024-11 Issue: Volume:166 Page:112142
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Kashfi Rasoul,Balochian Saeed^ORCID,Alishahi Mohammad

Publisher

Elsevier BV

Reference64 articles.

1. Design of a robust adaptive self-tuning regulator controller on single-phase full-bridge grid-connected inverter;Ghamari;Int. J. Dyn. Control,2022

2. A framework for optimum determination of LCL-filter parameters for N-level voltage source inverters using heuristic approach;Alamri;IEEE Access,2020

3. A comprehensive review on cascaded H-bridge inverter-based large-scale grid-connected photovoltaic;Ray;IETE Tech. Rev.,2017

4. Review of the h-bridge three-phase low power dissipation connected micro-grid network;Letsoin;IOP Conf. Ser., Earth Environ. Sci.,2019

5. A review on multilevel inverter topologies;Balal;Emerg. Sci. J.,2022

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