Imagen de Portada

Differentiable Predictive Control for Large-Scale Urban Road Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tumu, Renukanandan, Cortez, Wenceslao Shaw, Drgoňa, Ján, Vrabie, Draguna L., Glavaski, Sonja
Formato:	Preprint
Publicado:	2024
Materias:	Systems and Control Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Neural Lyapunov Differentiable Predictive Control
por: Mukherjee, Sayak, et al.
Publicado: (2022)

AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
por: Tumu, Renukanandan, et al.
Publicado: (2026)

Toward Single-Step MPPI via Differentiable Predictive Control
por: Le, Viet-Anh, et al.
Publicado: (2026)

Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates
por: Tumu, Renukanandan, et al.
Publicado: (2023)

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

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
por: Huang, Weimin, et al.
Publicado: (2026)

Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach
por: Viljoen, John, et al.
Publicado: (2024)

Learning Neural Differential Algebraic Equations via Operator Splitting
por: Koch, James, et al.
Publicado: (2024)

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

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

Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
por: Li, Shimiao, et al.
Publicado: (2025)

Supervisory Control of Hybrid Power Plants Using Online Feedback Optimization: Designs and Validations with a Hybrid Co-Simulation Engine
por: Mukherjee, Sayak, et al.
Publicado: (2025)

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

Physics-informed machine learning for building performance simulation-A review of a nascent field
por: Jiang, Zixin, et al.
Publicado: (2025)

Conformal Off-Policy Prediction for Multi-Agent Systems
por: Kuipers, Tom, et al.
Publicado: (2024)

Multiagent Social Influence: Modeling Persuasion in Contested Social Networks
por: Tumu, Renukanandan, et al.
Publicado: (2025)

An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants
por: Desai, Manavendra, et al.
Publicado: (2025)

Stability Enhanced Gaussian Process Variational Autoencoders
por: Richardson, Carl R., et al.
Publicado: (2026)

Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design
por: Ampleman, Stephen, et al.
Publicado: (2025)

Efficient Primal Heuristics for Mixed Binary Quadratic Programs Using Suboptimal Rounding Guidance
por: Huang, Weimin, et al.
Publicado: (2025)

Differentiable Model Predictive Control on the GPU
por: Adabag, Emre, et al.
Publicado: (2025)

Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control
por: Boldocký, Ján, et al.
Publicado: (2025)

Differentiable Discrete Event Simulation for Queuing Network Control
por: Che, Ethan, et al.
Publicado: (2024)

An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model
por: Nagariya, Akhil, et al.
Publicado: (2020)

Efficient Gradient-Based Optimization for Joint Layout Design and Control of Wind Turbines
por: Kotary, James, et al.
Publicado: (2025)

Learning and Current Prediction of PMSM Drive via Differential Neural Networks
por: Mei, Wenjie, et al.
Publicado: (2024)

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

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

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
por: Li, Xingchen, et al.
Publicado: (2026)

Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
por: Gordon, David C., et al.
Publicado: (2023)

Structural Controllability of Large-Scale Hypergraphs
por: Pickard, Joshua, et al.
Publicado: (2026)

Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
por: Pang, Gaoyang, et al.
Publicado: (2024)

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
por: Hirt, Sebastian, et al.
Publicado: (2024)

Correctness Verification of Neural Networks Approximating Differential Equations
por: Ellinas, Petros, 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)

Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
por: Li, Yutong, et al.
Publicado: (2025)

Bisimulation metric for Model Predictive Control
por: Shimizu, Yutaka, et al.
Publicado: (2024)

Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions
por: Xiao, Wei, et al.
Publicado: (2023)

Logarithmic Regret and Polynomial Scaling in Online Multi-step-ahead Prediction
por: Qian, Jiachen, et al.
Publicado: (2025)