Neural network based model predictive control of voltage for a polymer electrolyte fuel cell system with constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiufei, Yang, Miao, Qi, Yuanxin, Zhang, Miao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control
by: Li, Xiufei, et al.
Published: (2024)
by: Li, Xiufei, et al.
Published: (2024)
An advanced 1D physics-based model for PEM hydrogen fuel cells with enhanced overvoltage prediction
by: Gass, Raphaël, et al.
Published: (2024)
by: Gass, Raphaël, et al.
Published: (2024)
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks
by: Shi, Junzhe, et al.
Published: (2023)
by: Shi, Junzhe, et al.
Published: (2023)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)
by: Lan, Jianglin
Published: (2024)
Robust contraction-based model predictive control for nonlinear systems
by: Polver, Marco, et al.
Published: (2025)
by: Polver, Marco, et al.
Published: (2025)
A characteristic function framework for chance constraint programming in stochastic model predictive control
by: Ying, Yuwei, et al.
Published: (2026)
by: Ying, Yuwei, et al.
Published: (2026)
Neural network based control of unknown nonlinear systems via contraction analysis
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
by: Schwenkel, Lukas, et al.
Published: (2025)
by: Schwenkel, Lukas, et al.
Published: (2025)
Dynamic modeling and predictive control of a microfluidic system
by: Martinez, Jorge Vicente, et al.
Published: (2024)
by: Martinez, Jorge Vicente, et al.
Published: (2024)
Air supply control for proton exchange membrane fuel cells without explicit modeling
by: Ziane, Méziane Ait, et al.
Published: (2026)
by: Ziane, Méziane Ait, et al.
Published: (2026)
Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)
by: Teichrib, Dieter, et al.
Published: (2023)
AlphaPEM: an open-source dynamic 1D physics-based PEM fuel cell model for embedded applications
by: Gass, Raphaël, et al.
Published: (2024)
by: Gass, Raphaël, et al.
Published: (2024)
Learning-based data-enabled economic predictive control with convex optimization for nonlinear systems
by: Yan, Mingxue, et al.
Published: (2025)
by: Yan, Mingxue, et al.
Published: (2025)
Distributionally robust two-stage model predictive control: adaptive constraint tightening with stability guarantee
by: Zheng, Weijiang, et al.
Published: (2026)
by: Zheng, Weijiang, et al.
Published: (2026)
Small-signal stability of power systems with voltage droop
by: Niehues, Jakob, et al.
Published: (2024)
by: Niehues, Jakob, et al.
Published: (2024)
Critical link identification of power system vulnerability based on modified graph attention network
by: Wang, Changgang, et al.
Published: (2024)
by: Wang, Changgang, et al.
Published: (2024)
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
An overview of systems-theoretic guarantees in data-driven model predictive control
by: Berberich, Julian, et al.
Published: (2024)
by: Berberich, Julian, et al.
Published: (2024)
Research on OPF control of three-phase four-wire low-voltage distribution network considering uncertainty
by: Wang, Rui, et al.
Published: (2024)
by: Wang, Rui, et al.
Published: (2024)
Neural network-based identification of state-space switching nonlinear systems
by: Zhang, Yanxin, et al.
Published: (2025)
by: Zhang, Yanxin, et al.
Published: (2025)
Region-free explicit model predictive control for linear systems on Hilbert spaces
by: Kurula, Mikael, et al.
Published: (2022)
by: Kurula, Mikael, et al.
Published: (2022)
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
by: Nascimento, Allan Andre do, et al.
Published: (2024)
by: Nascimento, Allan Andre do, et al.
Published: (2024)
Secondary voltage regulation based on average voltage control
by: Edwin H. Lopera-Mazo
Published: (2018)
by: Edwin H. Lopera-Mazo
Published: (2018)
Distribution network reconfiguration for operational objectives: reducing voltage violation incidents and network losses
by: Mangelschots, Geert, et al.
Published: (2024)
by: Mangelschots, Geert, et al.
Published: (2024)
Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)
by: Hose, Henrik, et al.
Published: (2023)
Discrete time optimal control with frequency constraints for non-smooth systems
by: Kotpalliwar, Shruti, et al.
Published: (2019)
by: Kotpalliwar, Shruti, et al.
Published: (2019)
Closed-loop control of sloshing fuel in a spinning spacecraft
by: Zucchelli, Umberto, et al.
Published: (2025)
by: Zucchelli, Umberto, et al.
Published: (2025)
Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter
by: Pene, Serigne Daouda, et al.
Published: (2024)
by: Pene, Serigne Daouda, et al.
Published: (2024)
Online learning for robust voltage control under uncertain grid topology
by: Yeh, Christopher, et al.
Published: (2023)
by: Yeh, Christopher, et al.
Published: (2023)
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes
by: Li, Zhaoyang, et al.
Published: (2024)
by: Li, Zhaoyang, et al.
Published: (2024)
Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations
by: Stomberg, Gösta, et al.
Published: (2024)
by: Stomberg, Gösta, et al.
Published: (2024)
Active prognosis and diagnosis of modular discrete-event systems
by: Hu, Shaopeng, et al.
Published: (2025)
by: Hu, Shaopeng, et al.
Published: (2025)
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)
by: Wu, Long, et al.
Published: (2024)
Disturbance feedback-based model predictive control in uncertain dynamic environments
by: Buschermöhle, Philipp, et al.
Published: (2024)
by: Buschermöhle, Philipp, et al.
Published: (2024)
Vector-field guided constraint-following control for path following of uncertain mechanical systems
by: Yin, Hui, et al.
Published: (2026)
by: Yin, Hui, et al.
Published: (2026)
Mapping back and forth between model predictive control and neural networks
by: Drummond, Ross, et al.
Published: (2024)
by: Drummond, Ross, et al.
Published: (2024)
A state reduction approach for learning-based model predictive control for train rescheduling
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
Reachability analysis for piecewise affine systems with neural network-based controllers
by: Teichrib, Dieter, et al.
Published: (2024)
by: Teichrib, Dieter, et al.
Published: (2024)
Regional stability conditions for recurrent neural network-based control systems
by: La Bella, Alessio, et al.
Published: (2024)
by: La Bella, Alessio, et al.
Published: (2024)
Data-driven $H_{\infty}$ predictive control for constrained systems: a Lagrange duality approach
by: Wu, Wenhuang, et al.
Published: (2024)
by: Wu, Wenhuang, et al.
Published: (2024)
Similar Items
-
Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control
by: Li, Xiufei, et al.
Published: (2024) -
An advanced 1D physics-based model for PEM hydrogen fuel cells with enhanced overvoltage prediction
by: Gass, Raphaël, et al.
Published: (2024) -
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks
by: Shi, Junzhe, et al.
Published: (2023) -
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024) -
Robust contraction-based model predictive control for nonlinear systems
by: Polver, Marco, et al.
Published: (2025)