Neural Model-Based Self-Tuning PID Strategy Applied to PEMFC

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org

Citations

Journals Menu

"Neural Model-Based Self-Tuning PID Strategy Applied to PEMFC"
written by Cédric Damour, Michel Benne, Brigitte Grondin-Perez, Jean-Pierre Chabriat,
published by Engineering, Vol.6 No.4, 2014

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Advancements and insights in thermal and water management of proton exchange membrane fuel cells: Challenges and prospects
	International Communications in Heat and Mass …, 2024

[2]	Development of predictive voltage controller design for PEM fuel cell system based on identifier model
	Taie, AS Al-Araji - … Journal of Intelligent Engineering and Systems, 2023

[3]	A review of adaptive neural control applied to proton exchange membrane fuel cell systems
	Annual Reviews in Control, 2019

[4]	A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model
	2019

[1]	Simulation-based study on the control strategy for PEMFC thermal management system Journal of Physics: Conference Series, 2025 DOI:10.1088/1742-6596/3011/1/012020

[2]	Hybrid adaptive PID control strategy for UAVs using combined neural networks and fuzzy logic PLOS One, 2025 DOI:10.1371/journal.pone.0331036

[3]	A review of adaptive neural control applied to proton exchange membrane fuel cell systems Annual Reviews in Control, 2019 DOI:10.1016/j.arcontrol.2019.03.009

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Free SCIRP Newsletters

Add your e-mail address to receive free newsletters from SCIRP.

Top

Engineering

Engineering

Journals Menu

Home

About SCIRP

Service

Policies