Saved in:
| Main Authors: | Ham, Sang woo, Kim, Donghun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.05400 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Determining optimal thermal energy storage charging temperature for cooling using integrated building and coil modeling
by: Oh, Ju-Hong, et al.
Published: (2026)
by: Oh, Ju-Hong, et al.
Published: (2026)
Toward a foundational thermal model for residential buildings
by: Dai, Ting-Yu, et al.
Published: (2026)
by: Dai, Ting-Yu, et al.
Published: (2026)
Ellipsoidal partitions for improved multi-stage robust model predictive control
by: Heinlein, Moritz, et al.
Published: (2025)
by: Heinlein, Moritz, et al.
Published: (2025)
Physics-informed sparse identification-based tube model predictive control for aerial vehicles
by: Manzoor, Tayyab, et al.
Published: (2026)
by: Manzoor, Tayyab, et al.
Published: (2026)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)
by: Lan, Jianglin
Published: (2024)
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)
A lightweight numerical model for predictive control of borehole thermal energy storages
by: van Randenborgh, Johannes, et al.
Published: (2025)
by: van Randenborgh, Johannes, et al.
Published: (2025)
Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage
by: Langtry, Max, et al.
Published: (2024)
by: Langtry, Max, et al.
Published: (2024)
A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)
by: Fabiani, Filippo, et al.
Published: (2024)
A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings
by: Kang, Xuyuan, et al.
Published: (2025)
by: Kang, Xuyuan, et al.
Published: (2025)
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)
Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)
by: Bongard, Joscha, et al.
Published: (2021)
A reaction network approach to modeling carbon dioxide removal systems
by: Fortun, Noel, et al.
Published: (2024)
by: Fortun, Noel, 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)
Economic versus energetic model predictive control of a cold production plant with thermal energy storage
by: Satué, Manuel G., et al.
Published: (2025)
by: Satué, Manuel G., et al.
Published: (2025)
To build or not to build -- A queueing-based approach to timetable independent railway junction infrastructure dimensioning
by: Emunds, Tamme, et al.
Published: (2023)
by: Emunds, Tamme, et al.
Published: (2023)
Robust co-design framework for buildings operated by predictive control
by: Falugi, P., et al.
Published: (2024)
by: Falugi, P., et al.
Published: (2024)
On the dynamic behavior of the network SIRS epidemic model
by: Gatti, Giulia, et al.
Published: (2026)
by: Gatti, Giulia, 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)
Output-feedback adaptive model predictive control for ramp metering: a set-membership approach
by: Li, Zhexian, et al.
Published: (2023)
by: Li, Zhexian, et al.
Published: (2023)
Koopman operator based identification of nonlinear networks
by: Anantharaman, Ramachandran, et al.
Published: (2024)
by: Anantharaman, Ramachandran, et al.
Published: (2024)
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models
by: Gunawardena, Rajintha, et al.
Published: (2024)
by: Gunawardena, Rajintha, et al.
Published: (2024)
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings
by: Vittori, Filippo, et al.
Published: (2023)
by: Vittori, Filippo, et al.
Published: (2023)
Neural network based model predictive control of voltage for a polymer electrolyte fuel cell system with constraints
by: Li, Xiufei, et al.
Published: (2024)
by: Li, Xiufei, et al.
Published: (2024)
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
by: Bemporad, Alberto, et al.
Published: (2025)
by: Bemporad, Alberto, et al.
Published: (2025)
Indoor thermal comfort management: A Bayesian machine-learning approach to data denoising and dynamics prediction of HVAC systems
by: Penuela, Javier, et al.
Published: (2025)
by: Penuela, Javier, et al.
Published: (2025)
Convergence guarantees for adaptive model predictive control with kinky inference
by: Zuliani, Riccardo, et al.
Published: (2023)
by: Zuliani, Riccardo, et al.
Published: (2023)
Sparse identification of epidemiological compartment models with conserved quantities
by: Aminian, Manuchehr, et al.
Published: (2025)
by: Aminian, Manuchehr, et al.
Published: (2025)
Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)
by: Williams, Jan P., et al.
Published: (2024)
System identification of biophysical neuronal models
by: Burghi, Thiago B., et al.
Published: (2020)
by: Burghi, Thiago B., et al.
Published: (2020)
Economy and sustainability analysis with a novel modular configurable multi-modal white-box building model
by: Cheng, Haozhen, et al.
Published: (2025)
by: Cheng, Haozhen, et al.
Published: (2025)
Learning the cost-to-go for mixed-integer nonlinear model predictive control
by: Orrico, Christopher A., et al.
Published: (2024)
by: Orrico, Christopher A., et al.
Published: (2024)
Measured-state conditioned recursive feasibility for stochastic model predictive control
by: Fiacchini, Mirko, et al.
Published: (2024)
by: Fiacchini, Mirko, 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)
Analysis and design of model predictive control frameworks for dynamic operation -- An overview
by: Köhler, Johannes, et al.
Published: (2023)
by: Köhler, Johannes, et al.
Published: (2023)
On discount functions for economic model predictive control without terminal conditions
by: Schwenkel, Lukas, et al.
Published: (2024)
by: Schwenkel, Lukas, et al.
Published: (2024)
A constrained optimization approach to nonlinear system identification through simulation error minimization
by: Cerone, Vito, et al.
Published: (2025)
by: Cerone, Vito, et al.
Published: (2025)
The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models
by: Łaszkiewicz, Piotr, et al.
Published: (2025)
by: Łaszkiewicz, Piotr, et al.
Published: (2025)
Gaussian processes for dynamics learning in model predictive control
by: Scampicchio, Anna, et al.
Published: (2025)
by: Scampicchio, Anna, 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)
Similar Items
-
Determining optimal thermal energy storage charging temperature for cooling using integrated building and coil modeling
by: Oh, Ju-Hong, et al.
Published: (2026) -
Toward a foundational thermal model for residential buildings
by: Dai, Ting-Yu, et al.
Published: (2026) -
Ellipsoidal partitions for improved multi-stage robust model predictive control
by: Heinlein, Moritz, et al.
Published: (2025) -
Physics-informed sparse identification-based tube model predictive control for aerial vehicles
by: Manzoor, Tayyab, et al.
Published: (2026) -
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)