:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gharavi, Leila, Dabiri, Azita, Verkuijlen, Jelske, De Schutter, Bart, Baldi, Simone
Format:	Preprint
Published:	2023
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2310.17381
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem
by: Gharavi, Leila, et al.
Published: (2023)

Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control
by: Gharavi, Leila, et al.
Published: (2023)

Dodging the Moose: Experimental Insights in Real-Life Automated Collision Avoidance
by: Gharavi, Leila, et al.
Published: (2026)

Iterative Cut-Based PWA Approximation of Multi-Dimensional Nonlinear Systems
by: Gharavi, Leila, et al.
Published: (2024)

Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
by: Airaldi, Filippo, et al.
Published: (2023)

Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
by: Gharavi, Leila, et al.
Published: (2024)

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
by: Dabiri, Azita, et al.
Published: (2025)

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
by: Mallick, Samuel, et al.
Published: (2024)

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
by: Mallick, Samuel, et al.
Published: (2024)

A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
by: Mallick, Samuel, et al.
Published: (2024)

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes
by: Airaldi, Filippo, et al.
Published: (2022)

Probabilistically safe and efficient model-based reinforcement learning
by: Airaldi, Filippo, et al.
Published: (2025)

Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
by: Mallick, Samuel, et al.
Published: (2023)

Second-Order MPC-Based Distributed Q-Learning
by: Mallick, Samuel, et al.
Published: (2025)

Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
by: Mallick, Samuel, et al.
Published: (2026)

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
by: Mallick, Samuel, et al.
Published: (2025)

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
by: Mallick, Samuel, et al.
Published: (2024)

A state reduction approach for learning-based model predictive control for train rescheduling
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)

Distributed model predictive control without terminal cost under inexact distributed optimization
by: Liu, Xiaoyu, et al.
Published: (2025)

Learning-based model predictive control for passenger-oriented train rescheduling with flexible train composition
by: Liu, Xiaoyu, et al.
Published: (2025)

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
by: de Giuli, Laura Boca, et al.
Published: (2025)

Scenario Reduction with Guarantees for Stochastic Optimal Control of Linear Systems
by: Cordiano, Francesco, et al.
Published: (2024)

Integrated Online Monitoring and Adaption of Process Model Predictive Controllers
by: Mallick, Samuel, et al.
Published: (2026)

Adaptive Control of Heterogeneous Platoons with Guaranteed Collision Avoidance
by: Pandey, Ashutosh Chandra, et al.
Published: (2025)

Safe model-based Reinforcement Learning via Model Predictive Control and Control Barrier Functions
by: Dzhumageldyev, Kerim, et al.
Published: (2025)

Uniform Feasibility For Smoothed Backup Control Barrier Functions
by: Alan, Anil, et al.
Published: (2025)

Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic
by: Kim, Dongryul, et al.
Published: (2024)

Nonmyopic Global Optimisation via Approximate Dynamic Programming
by: Airaldi, Filippo, et al.
Published: (2024)

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning
by: Önür, Giray, et al.
Published: (2025)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
by: Liu, Changrui, et al.
Published: (2024)

Set-Theoretic Receding Horizon Control for Obstacle Avoidance and Overtaking in Autonomous Highway Driving
by: Cario, Gianni, et al.
Published: (2026)

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables
by: Shi, Shengling, et al.
Published: (2023)

A general partitioning strategy for non-centralized control
by: Riccardi, Alessandro, et al.
Published: (2025)

Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights
by: Riccardi, Alessandro, et al.
Published: (2025)

Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection
by: Battocletti, Gianpietro, et al.
Published: (2025)

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
by: Chen, Dianwei, et al.
Published: (2024)

Robust Adaptive Discrete-Time Control Barrier Certificate
by: Liu, Changrui, et al.
Published: (2025)

Current Practices in Electricy Demand and Charging Scheduling for On-Road Electric Fleet Operations: An Industry-Wide Review
by: Commandeur, Joost, et al.
Published: (2026)