:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vaquero-Serrano, Miguel A., Borrelli, Francesco, Felez, Jesus
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2507.02383
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximate solution of stochastic infinite horizon optimal control problems for constrained linear uncertain systems
by: Joa, Eunhyek, et al.
Published: (2024)

Learning How to Autonomously Race a Car: a Predictive Control Approach
by: Rosolia, Ugo, et al.
Published: (2019)

Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
by: Petrenz, Hannes, 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)

Safe continual learning in model predictive control with prescribed bounds on the tracking error
by: Lanza, Lukas, et al.
Published: (2023)

k-Dimensional Agreement in Multiagent Systems
by: Bianchin, Gianluca, et al.
Published: (2022)

On the accuracy of the model predictive control method
by: Angelov, Georgi, et al.
Published: (2025)

Analysis and design of model predictive control frameworks for dynamic operation -- An overview
by: Köhler, Johannes, et al.
Published: (2023)

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
by: Mitrai, Ilias, et al.
Published: (2023)

On discount functions for economic model predictive control without terminal conditions
by: Schwenkel, Lukas, et al.
Published: (2024)

Learning the cost-to-go for mixed-integer nonlinear model predictive control
by: Orrico, Christopher A., et al.
Published: (2024)

Non-Normalized Solutions of Generalized Nash Equilibrium in Autonomous Racing
by: Pustilnik, Mark, et al.
Published: (2025)

Hierarchical distributed scenario-based model predictive control of interconnected microgrids
by: Schenck, T. Alissa, et al.
Published: (2023)

Convergence guarantees for adaptive model predictive control with kinky inference
by: Zuliani, Riccardo, et al.
Published: (2023)

A novel trajectory optimization algorithm for continuous-time model predictive control
by: Das, Souvik, et al.
Published: (2023)

A model-based framework for controlling activated sludge plants
by: Neto, Otacilio B. L., et al.
Published: (2024)

Ellipsoidal partitions for improved multi-stage robust model predictive control
by: Heinlein, Moritz, et al.
Published: (2025)

Measured-state conditioned recursive feasibility for stochastic model predictive control
by: Fiacchini, Mirko, et al.
Published: (2024)

Error bounds for maxout neural network approximations of model predictive control
by: Teichrib, Dieter, et al.
Published: (2023)

An overview of systems-theoretic guarantees in data-driven model predictive control
by: Berberich, Julian, et al.
Published: (2024)

A characteristic function framework for chance constraint programming in stochastic model predictive control
by: Ying, Yuwei, et al.
Published: (2026)

A model predictive control framework with robust stability guarantees under unbounded disturbances
by: Köhler, Johannes, et al.
Published: (2022)

Predictive Control Barrier Functions: Bridging model predictive control and control barrier functions
by: Huang, Jingyi, et al.
Published: (2025)

Successive convex optimization for transformer encoder model predictive control
by: Chen, Xingxiao, et al.
Published: (2026)

Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
by: Schwenkel, Lukas, et al.
Published: (2025)

Region-free explicit model predictive control for linear systems on Hilbert spaces
by: Kurula, Mikael, et al.
Published: (2022)

Learning a convex cost-to-go for single step model predictive control
by: Turan, E. M., et al.
Published: (2023)

Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty
by: Messerer, Florian, et al.
Published: (2024)

Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)

Explicit feedback synthesis for nonlinear robust model predictive control driven by quasi-interpolation
by: Ganguly, Siddhartha, et al.
Published: (2023)

Sample- and computationally efficient data-driven predictive control
by: Alsalti, Mohammad, et al.
Published: (2023)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)

On model predictive control with sampled-data input for output tracking with prescribed performance
by: Dennstädt, Dario, et al.
Published: (2023)

Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
by: Köhler, Johannes, et al.
Published: (2025)

Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations
by: Stomberg, Gösta, et al.
Published: (2024)

RNN-based linear parameter varying adaptive model predictive control for autonomous driving
by: Kebbati, Yassine, et al.
Published: (2025)

Learning-based model predictive control with moving horizon state estimation for autonomous racing
by: Kebbati, Yassine, et al.
Published: (2025)

Robust model predictive control for large-scale distributed parameter systems under uncertainty
by: Tao, Min, et al.
Published: (2024)

On data usage and predictive behavior of data-driven predictive control with 1-norm regularization
by: Klädtke, Manuel, et al.
Published: (2025)

Fast yet predictable braking manoeuvers for real-time robot control
by: Hamad, Mazin, et al.
Published: (2023)