:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Husmann, Ricus, Weishaupt, Sven, Aschemann, Harald
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2605.26787
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
by: Husmann, Ricus, et al.
Published: (2025)

Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control
by: Husmann, Ricus, et al.
Published: (2025)

Gaussian Process Regression with Soft Inequality and Monotonicity Constraints
by: Kochan, Didem, et al.
Published: (2024)

Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)

Control Barrier Functions With Real-Time Gaussian Process Modeling
by: Gutierrez, Ricardo, et al.
Published: (2025)

Revisiting Continuous-Time Trajectory Estimation via Gaussian Processes and the Magnus Expansion
by: Barfoot, Timothy, et al.
Published: (2026)

Virtual Constraint for a Quadrotor UAV Enforcing a Body-Axis Pointing Direction
by: Simoes, Alexandre Anahory, et al.
Published: (2026)

Privacy-Preserving Fully Distributed Gaussian Process Regression
by: Jang, Yeongjun, et al.
Published: (2025)

Gaussian Processes with Noisy Regression Inputs for Dynamical Systems
by: Wolff, Tobias M., et al.
Published: (2024)

Recursive Estimation for Dynamical Systems with Measurement Bias, Outliers and Constraints
by: Nagpal, Krishan Mohan
Published: (2025)

Nonplanar Model Predictive Control for Autonomous Vehicles with Recursive Sparse Gaussian Process Dynamics
by: Amine, Ahmad, et al.
Published: (2026)

Physics-informed Gaussian Processes as Linear Model Predictive Controller with Constraint Satisfaction
by: Tebbe, Jörn, et al.
Published: (2025)

Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control
by: Anderson, Sean, et al.
Published: (2025)

Distributed Time-Varying Gaussian Regression via Kalman Filtering
by: Taddei, Nicola, et al.
Published: (2025)

A Unified Approach to Enforce Non-Negativity Constraint in Neural Network Approximation for Optimal Voltage Regulation
by: Wu, Jiaqi, et al.
Published: (2025)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)

Enforcing contraction via data
by: Hu, Zhongjie, et al.
Published: (2024)

A Local Gaussian Process Regression Approach to Frequency Response Function Estimation
by: Fang, Xiaozhu, et al.
Published: (2024)

Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression
by: Wang, Han, et al.
Published: (2025)

Enforcing Mixed State-Input Constraints with Multiple Backup Control Barrier Functions: A Projection-based Approach
by: Gacsi, Laszlo, et al.
Published: (2026)

Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates
by: Zhang, Zixin, et al.
Published: (2025)

Soft-Minimum and Soft-Maximum Barrier Functions for Safety with Actuation Constraints
by: Rabiee, Pedram, et al.
Published: (2023)

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

A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression
by: Qureshi, Muzaffar, et al.
Published: (2025)

Gaussian Process Regression for Improved Underwater Navigation
by: Cohen, Nadav, et al.
Published: (2025)

Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression
by: Skovbekk, John, et al.
Published: (2021)

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

Learning-Based Design of Off-Policy Gaussian Controllers: Integrating Model Predictive Control and Gaussian Process Regression
by: Tekumatla, Shiva Kumar, et al.
Published: (2024)

ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization
by: Krishnamoorthy, Dinesh
Published: (2024)

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
by: Zhang, Yu, et al.
Published: (2024)

Real-Time Systems Optimization with Black-box Constraints and Hybrid Variables
by: Wang, Sen, et al.
Published: (2024)

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
by: Deplano, Diego, et al.
Published: (2025)

Hierarchical Fuel-Cell Airpath Control: an Efficiency-Aware MIMO Control Approach Combined with a Novel Constraint-Enforcing Reference Governor
by: Bacher-Chong, Eli, et al.
Published: (2023)

Two-Instrument Screening under Soft Budget Constraints
by: Guo, Xinli
Published: (2025)

Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation
by: Bartels, Lars, et al.
Published: (2026)

Modeling Epidemic Spread: A Gaussian Process Regression Approach
by: She, Baike, et al.
Published: (2023)

Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints
by: Piazza, Mattia, et al.
Published: (2025)

Real-Time Trajectory Generation for Soft Robot Manipulators Using Differential Flatness
by: Dickson, Akua, et al.
Published: (2024)

Force-Safe Environment Maps and Real-Time Detection for Soft Robot Manipulators
by: Dickson, Akua K., et al.
Published: (2025)

Monotonicity and Contraction on Polyhedral Cones
by: Jafarpour, Saber, et al.
Published: (2022)