:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Tzu-Yuan, Zhang, Sihua, Dai, Xiaobing, Capone, Alexandre, Todorovski, Velimir, Sosnowski, Stefan, Hirche, Sandra
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2403.08054
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Modular Design of Strict Control Lyapunov Functions for Global Stabilization of the Unicycle in Polar Coordinates
by: Todorovski, Velimir, et al.
Published: (2025)

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

Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
by: Dai, Xiaobing, et al.
Published: (2023)

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

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

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

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
by: Huang, Tzu-Yuan, et al.
Published: (2024)

Learning Safe Control via On-the-Fly Bandit Exploration
by: Capone, Alexandre, et al.
Published: (2025)

Inverse Optimal Feedback and Gain Margins for Unicycle Stabilization
by: Kim, Kwang Hak, et al.
Published: (2025)

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

Approximation-Free Control Barrier Functions for Prescribed-Time Reach-Avoid of Unknown Systems
by: Sawarkar, Shubham, et al.
Published: (2025)

Computation-Aware Learning for Stable Control with Gaussian Process
by: Cao, Wenhan, et al.
Published: (2024)

Half-Global Deadbeat Parking for Dubins Vehicle
by: Krstić, Miroslav, et al.
Published: (2025)

Enhancing Safety in Uncertain Robotic Systems via Control Barrier Functions and PD Control
by: Yuhan Xiong, et al.
Published: (2025)

SafeFlow: Safe Robot Motion Planning with Flow Matching via Control Barrier Functions
by: Dai, Xiaobing, et al.
Published: (2025)

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

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
by: Yang, Zewen, et al.
Published: (2024)

Integrator Forwading Design for Unicycles with Constant and Actuated Velocity in Polar Coordinates
by: Krstic, Miroslav, et al.
Published: (2025)

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

Nonholonomic Robot Parking by Feedback -- Part I: Modular Strict CLF Designs
by: Todorovski, Velimir, et al.
Published: (2025)

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

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations
by: Yang, Zewen, et al.
Published: (2024)

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem
by: Cao, Wenhan, et al.
Published: (2024)

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

Safety Control of Impulsive Systems with Control Barrier Functions and Adaptive Gains
by: Liu, Zihan, et al.
Published: (2025)

Time-Varying Soft-Maximum Control Barrier Functions for Safety in an A Priori Unknown Environment
by: Safari, Amirsaeid, et al.
Published: (2023)

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

Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
by: Lefringhausen, Robert, et al.
Published: (2025)

Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems
by: Mestres, Pol, 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)

Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes
by: Evangelisti, Giulio, et al.
Published: (2024)

Incremental Composition of Learned Control Barrier Functions in Unknown Environments
by: Lutkus, Paul, et al.
Published: (2024)

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

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
by: Dai, Xiaobing, et al.
Published: (2024)

A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts
by: Bianchin, Francesco, et al.
Published: (2025)

Control Barrier Functions for Stochastic Systems and Safety-critical Control Designs
by: Nishimura, Yuki, et al.
Published: (2022)

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