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

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.net/journal/eng
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Citations

"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):

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[3]	A review of adaptive neural control applied to proton exchange membrane fuel cell systems
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[4]	A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model
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[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]	Advancements and insights in thermal and water management of proton exchange membrane fuel cells: Challenges and prospects International Communications in Heat and Mass Transfer, 2024 DOI:10.1016/j.icheatmasstransfer.2024.107376

[4]	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

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