Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
Fuente:
arXiv
Guardado en:
| Autores principales: | Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D., Findeisen, Rolf |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
por: Hirt, Sebastian, et al.
Publicado: (2024)
por: Hirt, Sebastian, et al.
Publicado: (2024)
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries
por: Kim, Minsu, et al.
Publicado: (2024)
por: Kim, Minsu, et al.
Publicado: (2024)
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
por: Hirt, Sebastian, et al.
Publicado: (2024)
por: Hirt, Sebastian, et al.
Publicado: (2024)
Stability-informed Bayesian Optimization for MPC Cost Function Learning
por: Hirt, Sebastian, et al.
Publicado: (2024)
por: Hirt, Sebastian, et al.
Publicado: (2024)
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
por: Schaeffer, Joachim, et al.
Publicado: (2024)
por: Schaeffer, Joachim, et al.
Publicado: (2024)
Bang-Ride Optimal Control: Monotonicity, External Positivity, and Fast Battery Charging
por: Shi, Shengling, et al.
Publicado: (2025)
por: Shi, Shengling, et al.
Publicado: (2025)
A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control
por: Hirt, Sebastian, et al.
Publicado: (2025)
por: Hirt, Sebastian, et al.
Publicado: (2025)
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control
por: Hirt, Sebastian, et al.
Publicado: (2024)
por: Hirt, Sebastian, et al.
Publicado: (2024)
High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control
por: Hirt, Sebastian, et al.
Publicado: (2025)
por: Hirt, Sebastian, et al.
Publicado: (2025)
Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment
por: Zhao, Yongpeng, et al.
Publicado: (2025)
por: Zhao, Yongpeng, et al.
Publicado: (2025)
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles
por: Theiner, Lukas, et al.
Publicado: (2025)
por: Theiner, Lukas, et al.
Publicado: (2025)
Efficient Controller Learning from Human Preferences and Numerical Data Via Multi-Modal Surrogate Models
por: Theiner, Lukas, et al.
Publicado: (2026)
por: Theiner, Lukas, et al.
Publicado: (2026)
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
por: Schaeffer, Joachim, et al.
Publicado: (2024)
por: Schaeffer, Joachim, et al.
Publicado: (2024)
Probabilistically Input-to-State Stable Stochastic Model Predictive Control
por: Pfefferkorn, Maik, et al.
Publicado: (2024)
por: Pfefferkorn, Maik, et al.
Publicado: (2024)
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2024)
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2024)
Regret and Conservatism of Distributionally Robust Constrained Stochastic Model Predictive Control
por: Pfefferkorn, Maik, et al.
Publicado: (2023)
por: Pfefferkorn, Maik, et al.
Publicado: (2023)
Real-time Gaussian Process based Approximate Model Predictive Trajectory Tracking Control for Autonomous Vehicles
por: Rose, Alexander, et al.
Publicado: (2026)
por: Rose, Alexander, et al.
Publicado: (2026)
Simulation-based Approach for Fast Optimal Control of a Stefan Problem with Application to Cell Therapy
por: Srisuma, Prakitr, et al.
Publicado: (2024)
por: Srisuma, Prakitr, et al.
Publicado: (2024)
Highly Efficient Optimal Control for Lyophilization via Simulation of Discrete/Continuous Mixed-index Differential-algebraic Equations
por: Srisuma, Prakitr, et al.
Publicado: (2025)
por: Srisuma, Prakitr, et al.
Publicado: (2025)
Flexible development and evaluation of machine‐learning‐supported optimal control and estimation methods via HILO‐MPC
por: Johannes Pohlodek, et al.
Publicado: (2024)
por: Johannes Pohlodek, et al.
Publicado: (2024)
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
por: Schurig, Roland, et al.
Publicado: (2023)
por: Schurig, Roland, et al.
Publicado: (2023)
Model Predictive Control for Constrained Linear Positive Systems on Graphs
por: Schurig, Roland, et al.
Publicado: (2026)
por: Schurig, Roland, et al.
Publicado: (2026)
Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
por: Watson, Joe, et al.
Publicado: (2021)
por: Watson, Joe, et al.
Publicado: (2021)
Safe and High-Performance Learning of Model Predicitve Control using Kernel-Based Interpolation
por: Rose, Alexander, et al.
Publicado: (2024)
por: Rose, Alexander, et al.
Publicado: (2024)
Neural Horizon Model Predictive Control -- Increasing Computational Efficiency with Neural Networks
por: Alsmeier, Hendrik, et al.
Publicado: (2024)
por: Alsmeier, Hendrik, et al.
Publicado: (2024)
Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
por: Wu, Liang, et al.
Publicado: (2026)
por: Wu, Liang, et al.
Publicado: (2026)
Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions
por: Mishra, Prabhat K., et al.
Publicado: (2024)
por: Mishra, Prabhat K., et al.
Publicado: (2024)
Time-certified Input-constrained NMPC via Koopman Operator
por: Wu, Liang, et al.
Publicado: (2024)
por: Wu, Liang, et al.
Publicado: (2024)
A Quadratic Programming Algorithm with $O(n^3)$ Time Complexity
por: Wu, Liang, et al.
Publicado: (2025)
por: Wu, Liang, et al.
Publicado: (2025)
Nonparametric Steady-State Learning for Nonlinear Output Feedback Regulation
por: Wang, Shimin, et al.
Publicado: (2024)
por: Wang, Shimin, et al.
Publicado: (2024)
Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory
por: Srisuma, Prakitr, et al.
Publicado: (2025)
por: Srisuma, Prakitr, et al.
Publicado: (2025)
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization
por: Le, Viet-Anh, et al.
Publicado: (2024)
por: Le, Viet-Anh, et al.
Publicado: (2024)
Bridging Data-Driven Reachability Analysis and Statistical Estimation via Constrained Matrix Convex Generators
por: Xie, Peng, et al.
Publicado: (2026)
por: Xie, Peng, et al.
Publicado: (2026)
Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols
por: Chowdhury, Myisha A., et al.
Publicado: (2024)
por: Chowdhury, Myisha A., et al.
Publicado: (2024)
LQR for Systems with Probabilistic Parametric Uncertainties: A Gradient Method
por: Cui, Leilei, et al.
Publicado: (2026)
por: Cui, Leilei, et al.
Publicado: (2026)
Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles
por: Berliner, Marc D., et al.
Publicado: (2025)
por: Berliner, Marc D., et al.
Publicado: (2025)
A Parallel Vector-form $LDL^\top$ Decomposition for Accelerating Execution-time-certified $\ell_1$-penalty Soft-constrained MPC
por: Wu, Liang, et al.
Publicado: (2024)
por: Wu, Liang, et al.
Publicado: (2024)
EIQP: Execution-time-certified and Infeasibility-detecting QP Solver
por: Wu, Liang, et al.
Publicado: (2025)
por: Wu, Liang, et al.
Publicado: (2025)
Degradation-Aware Fast-Charging of Li-Ion Batteries Using Joint Electrical and Thermal Model Predictive Control
por: Fabry, Frederic, et al.
Publicado: (2026)
por: Fabry, Frederic, et al.
Publicado: (2026)
A Modular Energy Aware Framework for Multicopter Modeling in Control and Planning Applications
por: Gasche, Sebastian, et al.
Publicado: (2025)
por: Gasche, Sebastian, et al.
Publicado: (2025)
Ejemplares similares
-
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
por: Hirt, Sebastian, et al.
Publicado: (2024) -
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries
por: Kim, Minsu, et al.
Publicado: (2024) -
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
por: Hirt, Sebastian, et al.
Publicado: (2024) -
Stability-informed Bayesian Optimization for MPC Cost Function Learning
por: Hirt, Sebastian, et al.
Publicado: (2024) -
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
por: Schaeffer, Joachim, et al.
Publicado: (2024)