:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Tzu-Yuan, Zhang, Sihua, Dai, Xiaobing, Capone, Alexandre, Todorovski, Velimir, Sosnowski, Stefan, Hirche, Sandra
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control
Accès en ligne:	https://arxiv.org/abs/2403.08054
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
par: Zhang, Sihua, et autres
Publié: (2024)

Nonholonomic Robot Parking by Feedback -- Part II: Nonmodular, Inverse Optimal, Adaptive, Prescribed/Fixed-Time and Safe Designs
par: Kim, Kwang Hak, et autres
Publié: (2025)

SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
par: Huang, Tzu-Yuan, et autres
Publié: (2025)

Modular Design of Strict Control Lyapunov Functions for Global Stabilization of the Unicycle in Polar Coordinates
par: Todorovski, Velimir, et autres
Publié: (2025)

Risk-Aware Trajectory Optimization and Control for an Underwater Suspended Robotic System
par: Origane, Yuki, et autres
Publié: (2025)

Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
par: Dai, Xiaobing, et autres
Publié: (2023)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
par: Yang, Zewen, et autres
Publié: (2024)

Where to Put Safety? Control Barrier Function Placement in Networked Control Systems
par: Beger, Severin, et autres
Publié: (2026)

Koopman-Equivariant Gaussian Processes
par: Bevanda, Petar, et autres
Publié: (2025)

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
par: Huang, Tzu-Yuan, et autres
Publié: (2024)

Learning Safe Control via On-the-Fly Bandit Exploration
par: Capone, Alexandre, et autres
Publié: (2025)

Inverse Optimal Feedback and Gain Margins for Unicycle Stabilization
par: Kim, Kwang Hak, et autres
Publié: (2025)

Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
par: Hoischen, Nicolas, et autres
Publié: (2024)

Approximation-Free Control Barrier Functions for Prescribed-Time Reach-Avoid of Unknown Systems
par: Sawarkar, Shubham, et autres
Publié: (2025)

Computation-Aware Learning for Stable Control with Gaussian Process
par: Cao, Wenhan, et autres
Publié: (2024)

Half-Global Deadbeat Parking for Dubins Vehicle
par: Krstić, Miroslav, et autres
Publié: (2025)

Enhancing Safety in Uncertain Robotic Systems via Control Barrier Functions and PD Control
par: Yuhan Xiong, et autres
Publié: (2025)

SafeFlow: Safe Robot Motion Planning with Flow Matching via Control Barrier Functions
par: Dai, Xiaobing, et autres
Publié: (2025)

Operator Models for Continuous-Time Offline Reinforcement Learning
par: Hoischen, Nicolas, et autres
Publié: (2025)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
par: Yang, Zewen, et autres
Publié: (2024)

Integrator Forwading Design for Unicycles with Constant and Actuated Velocity in Polar Coordinates
par: Krstic, Miroslav, et autres
Publié: (2025)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
par: Lefringhausen, Robert, et autres
Publié: (2023)

Nonholonomic Robot Parking by Feedback -- Part I: Modular Strict CLF Designs
par: Todorovski, Velimir, et autres
Publié: (2025)

Nonparametric Control Koopman Operators
par: Bevanda, Petar, et autres
Publié: (2024)

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations
par: Yang, Zewen, et autres
Publié: (2024)

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem
par: Cao, Wenhan, et autres
Publié: (2024)

A Robust Model Predictive Control Method for Networked Control Systems
par: Beger, Severin, et autres
Publié: (2025)

Safety Control of Impulsive Systems with Control Barrier Functions and Adaptive Gains
par: Liu, Zihan, et autres
Publié: (2025)

Time-Varying Soft-Maximum Control Barrier Functions for Safety in an A Priori Unknown Environment
par: Safari, Amirsaeid, et autres
Publié: (2023)

Safe Event-triggered Gaussian Process Learning for Barrier-Constrained Control
par: Lederer, Armin, et autres
Publié: (2024)

Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
par: Lefringhausen, Robert, et autres
Publié: (2025)

Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems
par: Mestres, Pol, et autres
Publié: (2025)

On the Existence of Quadratic Control Lyapunov Functions for Koopman-Operator based Bilinear Systems
par: Hanna, Sami Leon Noel Aziz, et autres
Publié: (2026)

Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes
par: Evangelisti, Giulio, et autres
Publié: (2024)

Incremental Composition of Learned Control Barrier Functions in Unknown Environments
par: Lutkus, Paul, et autres
Publié: (2024)

Information-triggered Learning with Application to Learning-based Predictive Control
par: Zheng, Kaikai, et autres
Publié: (2024)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
par: Dai, Xiaobing, et autres
Publié: (2024)

A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts
par: Bianchin, Francesco, et autres
Publié: (2025)

Control Barrier Functions for Stochastic Systems and Safety-critical Control Designs
par: Nishimura, Yuki, et autres
Publié: (2022)

Koopman Kernel Regression
par: Bevanda, Petar, et autres
Publié: (2023)