Copertina

Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Boldocký, Ján, Javan, Shahriar Dadras, Gulan, Martin, Mönnigmann, Martin, Drgoňa, Ján
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data Center Chiller Plant Optimization via Mixed-Integer Nonlinear Differentiable Predictive Control
di: Boldocký, Ján, et al.
Pubblicazione: (2026)

Neural Lyapunov Differentiable Predictive Control
di: Mukherjee, Sayak, et al.
Pubblicazione: (2022)

A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
di: Heid, Johannes, et al.
Pubblicazione: (2025)

Differentiable Predictive Control for Large-Scale Urban Road Networks
di: Tumu, Renukanandan, et al.
Pubblicazione: (2024)

Optimal Mode Decomposition for Control
di: Mieg, Lucas, et al.
Pubblicazione: (2025)

Zero-Shot Function Encoder-Based Differentiable Predictive Control
di: Iqbal, Hassan, et al.
Pubblicazione: (2025)

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
di: Wu, Liang, et al.
Pubblicazione: (2026)

Fast Switching in Mixed-Integer Model Predictive Control
di: Makarow, Artemi, et al.
Pubblicazione: (2024)

Gray-Box Computed Torque Control for Differential-Drive Mobile Robot Tracking
di: Pishkhani, Arman Javan Sekhavat
Pubblicazione: (2025)

Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
di: Li, Xingjian, et al.
Pubblicazione: (2025)

Koopman-Based Linear MPC for Safe Control using Control Barrier Functions
di: Liu, Shuo, et al.
Pubblicazione: (2026)

Polynomial Parametric Koopman Operators for Stochastic MPC
di: Iliakis, Efstathios, et al.
Pubblicazione: (2026)

SCORE: Statistical Certification of Regions of Attraction via Extreme Value Theory
di: Zanotta, Pietro, et al.
Pubblicazione: (2026)

L2O-CCG: Adversarial Learning with Set Generalization for Adaptive Robust Optimization
di: Zhou, Zhiyi, et al.
Pubblicazione: (2026)

Data-driven approximation of regions of attraction via an LP-based selection of PWA Lyapunov functions
di: Khattabi, Oumayma, et al.
Pubblicazione: (2026)

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
di: Tang, Bo, et al.
Pubblicazione: (2024)

CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control
di: Zanotta, Pietro, et al.
Pubblicazione: (2026)

Learning to Solve Constrained Bilevel Control Co-Design Problems
di: Kotary, James, et al.
Pubblicazione: (2025)

Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates
di: Wu, Liang, et al.
Pubblicazione: (2026)

$\partial$CBDs: Differentiable Causal Block Diagrams
di: Beckers, Thomas, et al.
Pubblicazione: (2026)

A Robust, Efficient Predictive Safety Filter
di: Cortez, Wenceslao Shaw, et al.
Pubblicazione: (2023)

Solve the General Constrained Optimal Control Problem with Common Integration Method
di: Zhang, Sheng, et al.
Pubblicazione: (2018)

Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning
di: Reiter, Rudolf, et al.
Pubblicazione: (2024)

Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning
di: Zheng, Honghui, et al.
Pubblicazione: (2025)

Distributed Mixed-Integer Quadratic Programming for Mixed-Traffic Intersection Control
di: Le, Viet-Anh, et al.
Pubblicazione: (2025)

Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
di: Xu, Jinming, et al.
Pubblicazione: (2023)

Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy
di: Ma, Xutao, et al.
Pubblicazione: (2025)

Uncertainty Propagation and Minimization for Channel Estimation in UAV-mounted RIS Systems
di: Weinberger, Kevin, et al.
Pubblicazione: (2024)

Safe Physics-Informed Machine Learning for Dynamics and Control
di: Drgona, Jan, et al.
Pubblicazione: (2025)

Explicit MPC for the constrained zonotope case with low-rank matrix updates
di: Mihai, Stefan S., et al.
Pubblicazione: (2025)

Baseline-improved Economic Model Predictive Control for Optimal Microgrid Dispatch
di: Ghosh, Avik, et al.
Pubblicazione: (2025)

Time-Certified and Efficient NMPC via Koopman Operator
di: Wu, Liang, et al.
Pubblicazione: (2026)

Highly Efficient Optimal Control for Lyophilization via Simulation of Discrete/Continuous Mixed-index Differential-algebraic Equations
di: Srisuma, Prakitr, et al.
Pubblicazione: (2025)

A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem
di: Fotiadis, Filippos, et al.
Pubblicazione: (2025)

Solving Infinite-Horizon Optimal Control Problems using the Extreme Theory of Functional Connections
di: Srinivasa, Tanay Raghunandan, et al.
Pubblicazione: (2025)

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
di: Huang, Tzu-Yuan, et al.
Pubblicazione: (2024)

Mixed-Integer vs. Continuous Model Predictive Control for Binary Thrusters: A Comparative Study
di: Stark, Franek, et al.
Pubblicazione: (2026)

DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
di: Petrik, Jan, et al.
Pubblicazione: (2024)

Differential Dynamic Programming for the Optimal Control Problem with an Ellipsoidal Target Set and Its Statistical Inference
di: Eom, Sungjun, et al.
Pubblicazione: (2025)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control
di: Zhang, Xiaole, et al.
Pubblicazione: (2025)