:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Markkassery, Sreeshma, Boom, Ton van den, De Schutter, Bart
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Systems and Control
Online-Zugang:	https://arxiv.org/abs/2602.03346
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees
von: He, Kanghui, et al.
Veröffentlicht: (2023)

From learning to safety: A Direct Data-Driven Framework for Constrained Control
von: He, Kanghui, et al.
Veröffentlicht: (2025)

State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
von: He, Kanghui, et al.
Veröffentlicht: (2023)

Predictive control barrier functions for piecewise affine systems with non-smooth constraints
von: He, Kanghui, et al.
Veröffentlicht: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On the Stability Connection Between Discrete-Time Algorithms and Their Resolution ODEs: Applications to Min-Max Optimisation
von: Farzin, Amir Ali, et al.
Veröffentlicht: (2026)

Adaptive Data-Driven Min-Max MPC for Linear Time-Varying Systems
von: Xie, Yifan, et al.
Veröffentlicht: (2026)

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

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

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

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

Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
von: Riccardi, Alessandro, et al.
Veröffentlicht: (2026)

Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
von: Shi, Shengling, et al.
Veröffentlicht: (2023)

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

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

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

Min-Max Grassmannian Optimization for Online Subspace Tracking
von: Bharadwaj, Shreyas, et al.
Veröffentlicht: (2026)

Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation
von: Xie, Yifan, et al.
Veröffentlicht: (2024)

Synthesizing Min-Max Control Barrier Functions For Switched Affine Systems
von: Kamali, Sara, et al.
Veröffentlicht: (2025)

On the Computation of Backward Reachable Sets for Max-Plus Linear Systems with Disturbances
von: Li, Yuda, et al.
Veröffentlicht: (2026)

Data-Driven Min-Max MPC for LPV Systems with Unknown Scheduling Signal
von: Xie, Yifan, et al.
Veröffentlicht: (2024)

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

Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios
von: Gharavi, Leila, et al.
Veröffentlicht: (2023)