Cover Image

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Tzu-Yuan, Lederer, Armin, Hoischen, Nicolas, Brüdigam, Jan, Xiao, Xuehua, Sosnowski, Stefan, Hirche, Sandra
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
by: Hoischen, Nicolas, et al.
Published: (2024)

Kernel-Based Optimal Control: An Infinitesimal Generator Approach
by: Bevanda, Petar, et al.
Published: (2024)

Risk-Aware Trajectory Optimization and Control for an Underwater Suspended Robotic System
by: Origane, Yuki, et al.
Published: (2025)

On the Existence of Quadratic Control Lyapunov Functions for Koopman-Operator based Bilinear Systems
by: Hanna, Sami Leon Noel Aziz, et al.
Published: (2026)

Operator Models for Continuous-Time Offline Reinforcement Learning
by: Hoischen, Nicolas, et al.
Published: (2025)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)

Koopman-Equivariant Gaussian Processes
by: Bevanda, Petar, et al.
Published: (2025)

Koopman Kernel Regression
by: Bevanda, Petar, et al.
Published: (2023)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)

SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
by: Huang, Tzu-Yuan, et al.
Published: (2025)

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
by: Huang, Tzu-Yuan, et al.
Published: (2024)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
by: Yang, Zewen, et al.
Published: (2024)

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Safe Event-triggered Gaussian Process Learning for Barrier-Constrained Control
by: Lederer, Armin, et al.
Published: (2024)

A Robust Model Predictive Control Method for Networked Control Systems
by: Beger, Severin, et al.
Published: (2025)

Nonparametric Control Koopman Operators
by: Bevanda, Petar, et al.
Published: (2024)

Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems
by: Fink, Michael, et al.
Published: (2024)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Optimal Delay Compensation in Networked Predictive Control
by: Beger, Severin, et al.
Published: (2025)

Physically Consistent Modeling & Identification of Nonlinear Friction with Dissipative Gaussian Processes
by: Dai, Rui, et al.
Published: (2024)

Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)

Optimal Transmission Power Scheduling for Networked Control System under DoS Attack
by: Wang, Siyi, et al.
Published: (2024)

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
by: Zhang, Sihua, et al.
Published: (2024)

Safe Connectivity Maintenance of Underactuated Multi-Agent Networks in Dynamic Oceanic Environments
by: Hoischen, Nicolas, et al.
Published: (2023)

Information-triggered Learning with Application to Learning-based Predictive Control
by: Zheng, Kaikai, et al.
Published: (2024)

Towards Optimal Passive Feedback Control of LTI Systems under LQR Performance
by: Gießler, Armin, et al.
Published: (2026)

Reinforcement Learning with Lie Group Orientations for Robotics
by: Schuck, Martin, et al.
Published: (2024)

Where to Put Safety? Control Barrier Function Placement in Networked Control Systems
by: Beger, Severin, et al.
Published: (2026)

Multi-Phase Optimal Control Problems for Efficient Nonlinear Model Predictive Control with acados
by: Frey, Jonathan, et al.
Published: (2024)

Safe-by-Design: Approximate Nonlinear Model Predictive Control with Real Time Feasibility
by: Olucak, Jan, et al.
Published: (2025)

Model Predictive Control is Almost Optimal for Restless Bandit
by: Gast, Nicolas, et al.
Published: (2024)

IMPACT: A Toolchain for Nonlinear Model Predictive Control Specification, Prototyping, and Deployment
by: Florez, Alvaro, et al.
Published: (2023)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
by: Graebner, Jannik, et al.
Published: (2024)

Multi‐Phase Optimal Control Problems for Efficient Nonlinear Model Predictive Control With acados
by: Jonathan Frey, et al.
Published: (2025)

A Framework for Quasi Time-Optimal Nonlinear Model Predictive Control with Soft Constraints
by: Ismail, Joe, et al.
Published: (2020)

Differentiable-by-design Nonlinear Optimization for Model Predictive Control
by: Zuliani, Riccardo, et al.
Published: (2025)

An MDP-Based Approach for Distribution System Control with PV Generation and Battery Storage
by: Sosnowski, Robert, et al.
Published: (2024)

Towards Solutions of Manipulation Tasks via Optimal Control of Projected Dynamical Systems
by: Pozharskiy, Anton, et al.
Published: (2025)

Robust Near-Optimal Nonlinear Target Enclosing Guidance
by: Sinha, Abhinav, et al.
Published: (2025)

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems
by: Wehbeh, J., et al.
Published: (2025)