A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Huang, Liu, Xixi, Altaf, Faisal, Wik, Torsten |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction
by: Zhang, Huang, et al.
Published: (2025)
by: Zhang, Huang, et al.
Published: (2025)
Battery Capacity Knee-Onset Identification and Early Prediction Using Degradation Curvature
by: Zhang, Huang, et al.
Published: (2023)
by: Zhang, Huang, et al.
Published: (2023)
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control
by: Peprah, Godwin K., et al.
Published: (2024)
by: Peprah, Godwin K., et al.
Published: (2024)
Spectral Analysis of Approximated Capacity Fade Curvature for Lithium-Ion Batteries
by: Zhang, Huang, et al.
Published: (2025)
by: Zhang, Huang, et al.
Published: (2025)
A Unified Model for Active Battery Equalization Systems
by: Ouyang, Quan, et al.
Published: (2024)
by: Ouyang, Quan, et al.
Published: (2024)
Smart Sensing Breaks the Accuracy Barrier in Battery State Monitoring
by: Bian, Xiaolei, et al.
Published: (2025)
by: Bian, Xiaolei, et al.
Published: (2025)
Reinforcement Learning-based Home Energy Management with Heterogeneous Batteries and Stochastic EV Behaviour
by: Yuan, Meng, et al.
Published: (2026)
by: Yuan, Meng, et al.
Published: (2026)
Automatic Generation of Examinations in the Automatic Control Courses
by: Stotsky, Alexander, et al.
Published: (2024)
by: Stotsky, Alexander, et al.
Published: (2024)
Online Aging-Aware Energy Optimization for Vehicle-Home-Grid Integration
by: Popolizio, Francesco, et al.
Published: (2025)
by: Popolizio, Francesco, et al.
Published: (2025)
Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios
by: Saeed, Muhammad, et al.
Published: (2024)
by: Saeed, Muhammad, et al.
Published: (2024)
Online Energy Management for Bidirectional EV Charging with Rooftop PV: An Aging-Aware MPC Approach
by: Popolizio, Francesco, et al.
Published: (2026)
by: Popolizio, Francesco, et al.
Published: (2026)
Gaussian Processes in Power Systems: Techniques, Applications, and Future Works
by: Tan, Bendong, et al.
Published: (2025)
by: Tan, Bendong, et al.
Published: (2025)
Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
by: Husmann, Ricus, et al.
Published: (2025)
by: Husmann, Ricus, et al.
Published: (2025)
Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control
by: Anderson, Sean, et al.
Published: (2025)
by: Anderson, Sean, et al.
Published: (2025)
Distributed Shape Learning of Complex Objects Using Gaussian Kernel
by: Oshima, Toshiyuki, et al.
Published: (2024)
by: Oshima, Toshiyuki, et al.
Published: (2024)
Continuous Gaussian Process Pre-Optimization for Asynchronous Event-Inertial Odometry
by: Wang, Zhixiang, et al.
Published: (2024)
by: Wang, Zhixiang, et al.
Published: (2024)
Aging States Estimation and Monitoring Strategies of Li-Ion Batteries Using Incremental Capacity Analysis and Gaussian Process Regression
by: Landwehr, Moritz, et al.
Published: (2026)
by: Landwehr, Moritz, et al.
Published: (2026)
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)
by: Lederer, Armin, et al.
Published: (2019)
Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control
by: Husmann, Ricus, et al.
Published: (2025)
by: Husmann, Ricus, et al.
Published: (2025)
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
by: Tonini, Stefano, et al.
Published: (2026)
by: Tonini, Stefano, et al.
Published: (2026)
On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach
by: Liu, Yuhan, et al.
Published: (2025)
by: Liu, Yuhan, et al.
Published: (2025)
Learning High-Order Control Barrier Functions for Safety-Critical Control with Gaussian Processes
by: Aali, Mohammad, et al.
Published: (2024)
by: Aali, Mohammad, et al.
Published: (2024)
Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)
by: Zheng, Tengjie, et al.
Published: (2024)
Distributionally Robust Model Predictive Control with Mixture of Gaussian Processes
by: Wu, Jingyi, et al.
Published: (2025)
by: Wu, Jingyi, et al.
Published: (2025)
Physics-informed Gaussian Processes for Model Predictive Control of Nonlinear Systems
by: Lepp, Adrian, et al.
Published: (2025)
by: Lepp, Adrian, et al.
Published: (2025)
Privacy-Preserving Fully Distributed Gaussian Process Regression
by: Jang, Yeongjun, et al.
Published: (2025)
by: Jang, Yeongjun, et al.
Published: (2025)
Computation-Aware Learning for Stable Control with Gaussian Process
by: Cao, Wenhan, et al.
Published: (2024)
by: Cao, Wenhan, et al.
Published: (2024)
Decentralized Scalar Field Mapping using Gaussian Process
by: Papi, Hossein, et al.
Published: (2026)
by: Papi, Hossein, et al.
Published: (2026)
Gaussian Processes with Noisy Regression Inputs for Dynamical Systems
by: Wolff, Tobias M., et al.
Published: (2024)
by: Wolff, Tobias M., et al.
Published: (2024)
Gaussian Process-Based Nonlinear Moving Horizon Estimation
by: Wolff, Tobias M., et al.
Published: (2024)
by: Wolff, Tobias M., et al.
Published: (2024)
Streaming Generated Gaussian Process Experts for Online Learning and Control: Extended Version
by: Yang, Zewen, et al.
Published: (2025)
by: Yang, Zewen, et al.
Published: (2025)
Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression
by: Ding, Tianyi, et al.
Published: (2023)
by: Ding, Tianyi, et al.
Published: (2023)
A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners
by: Herbst, Gernot
Published: (2019)
by: Herbst, Gernot
Published: (2019)
Stability Enhanced Gaussian Process Variational Autoencoders
by: Richardson, Carl R., et al.
Published: (2026)
by: Richardson, Carl R., et al.
Published: (2026)
Physics-informed Gaussian Processes as Linear Model Predictive Controller with Constraint Satisfaction
by: Tebbe, Jörn, et al.
Published: (2025)
by: Tebbe, Jörn, et al.
Published: (2025)
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation
by: Fang, Xiaozhu, et al.
Published: (2024)
by: Fang, Xiaozhu, et al.
Published: (2024)
Data-Driven Nonlinear Regulation: Gaussian Process Learning
by: Harry, Telema, et al.
Published: (2025)
by: Harry, Telema, et al.
Published: (2025)
Inverted Gaussian Process Optimization for Probabilistic Koopman Operator Discovery
by: Majumdar, Abhigyan, et al.
Published: (2025)
by: Majumdar, Abhigyan, et al.
Published: (2025)
Control Barrier Functions With Real-Time Gaussian Process Modeling
by: Gutierrez, Ricardo, et al.
Published: (2025)
by: Gutierrez, Ricardo, et al.
Published: (2025)
Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes
by: Riveiros, Alejandro Penacho, et al.
Published: (2026)
by: Riveiros, Alejandro Penacho, et al.
Published: (2026)
Similar Items
-
A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction
by: Zhang, Huang, et al.
Published: (2025) -
Battery Capacity Knee-Onset Identification and Early Prediction Using Degradation Curvature
by: Zhang, Huang, et al.
Published: (2023) -
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control
by: Peprah, Godwin K., et al.
Published: (2024) -
Spectral Analysis of Approximated Capacity Fade Curvature for Lithium-Ion Batteries
by: Zhang, Huang, et al.
Published: (2025) -
A Unified Model for Active Battery Equalization Systems
by: Ouyang, Quan, et al.
Published: (2024)