:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Buerger, Johannes, Cannon, Mark
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2603.05029
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safe adaptive NMPC using ellipsoidal tubes
by: Buerger, Johannes, et al.
Published: (2025)

Robust targeted exploration for systems with non-stochastic disturbances
by: Venkatasubramanian, Janani, et al.
Published: (2024)

Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming
by: Doff-Sotta, Martin, et al.
Published: (2026)

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

A successive convexification approach for robust receding horizon control
by: Lishkova, Yana, et al.
Published: (2023)

Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations
by: Krausch, Niels, et al.
Published: (2025)

NMPC for Collision Avoidance by Superellipsoid Separation
by: Moran, Ruairi, et al.
Published: (2024)

Decentralized Real-Time Iterations for Distributed NMPC
by: Stomberg, Gösta, et al.
Published: (2024)

Progressive Smoothing for Motion Planning in Real-Time NMPC
by: Reiter, Rudolf, et al.
Published: (2024)

Time-certified Input-constrained NMPC via Koopman Operator
by: Wu, Liang, et al.
Published: (2024)

Optimal control analysis and Practical NMPC applied to refrigeration systems
by: Bejarano, G., et al.
Published: (2024)

Deep Learning Model Predictive Control for Deep Brain Stimulation in Parkinson's Disease
by: Steffen, Sebastian, et al.
Published: (2025)

$π$MPC: A Parallel-in-horizon and Construction-free NMPC Solver
by: Wu, Liang, et al.
Published: (2026)

Learning-based Homothetic Tube MPC
by: Gao, Yulong, et al.
Published: (2025)

A Stabilizing NMPC Strategy for a Class of Nonholonomic Systems with Drift
by: Nguyen, Huu Thien, et al.
Published: (2024)

Large problems are not necessarily hard: A case study on distributed NMPC paying off
by: Stomberg, Gösta, et al.
Published: (2024)

Sample-Efficient Reinforcement Learning of Koopman eNMPC
by: Mayfrank, Daniel, et al.
Published: (2025)

Certainty-equivalent adaptive MPC for uncertain nonlinear systems
by: Köhler, Johannes
Published: (2026)

Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
by: Dai, Xinliang, et al.
Published: (2024)

Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
by: Klädtke, Manuel, et al.
Published: (2023)

Comparing Model-based Control Strategies for a Quadruple Tank System: Decentralized PID, LMPC, and NMPC
by: Christensen, Anders H. D., et al.
Published: (2025)

Learning-based Rigid Tube Model Predictive Control
by: Gao, Yulong, et al.
Published: (2023)

Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
by: Schulze, Jan C., et al.
Published: (2024)

Quasi-Newton method of Optimization is proved to be a steepest descent method under the ellipsoid norm
by: Li, Jiongcheng
Published: (2024)

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

End-to-End Reinforcement Learning of Koopman Models for eNMPC of an Air Separation Unit
by: Mayfrank, Daniel, et al.
Published: (2025)

Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
by: Püttschneider, Jens, et al.
Published: (2024)

Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
by: Mayfrank, Daniel, et al.
Published: (2024)

Minimal intersection radius for $n$ growing, non-homogeneous ellipsoids in $\mathbb{R}^d$
by: Giunti, Barbara, et al.
Published: (2026)

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions
by: Leeman, Antoine P., et al.
Published: (2024)

Speeding up VSLMS adaptation algorithms using dynamic adaptation gain: Analysis and Applications
by: Landau, Ioan Doré, et al.
Published: (2024)

Perturbation Duality for Robust and Distributionally Robust Optimization: Short and General Proofs
by: Chen, Louis L., et al.
Published: (2026)

A K-adaptability Approach to Proton Radiation Therapy Robust Treatment Planning
by: Qiu, Zihang, et al.
Published: (2025)

A robust and adaptive MPC formulation for Gaussian process models
by: Dubied, Mathieu, et al.
Published: (2025)

Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning
by: Petrenz, Hannes, et al.
Published: (2025)

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

Guaranteed Robust Nonlinear MPC via Disturbance Feedback
by: Leeman, Antoine P., et al.
Published: (2025)

Stability of Lyapunov redesign trajectory tracking control with unbounded perturbations -- A tube-based stability analysis
by: Tietze, Niclas, et al.
Published: (2025)

Robust Nonlinear Optimal Control via System Level Synthesis
by: Leeman, Antoine P., et al.
Published: (2023)

Machine Learning for K-adaptability in Two-stage Robust Optimization
by: Julien, Esther, et al.
Published: (2022)