Saved in:
| Main Authors: | Zhao, Yang, Lee, Jungeun, Jeon, Jeong hwan, Yong, Sze Zheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.26534 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safety-Critical Control with Offline-Online Neural Network Inference
by: Zhang, Junhui, et al.
Published: (2024)
by: Zhang, Junhui, et al.
Published: (2024)
Tight Remainder-Form Decomposition Functions with Applications to Constrained Reachability and Guaranteed State Estimation
by: Khajenejad, Mohammad, et al.
Published: (2021)
by: Khajenejad, Mohammad, et al.
Published: (2021)
Control Barrier Functions for Linear Continuous-Time Input-Delay Systems with Limited-Horizon Previewable Disturbances
by: Pati, Tarun, et al.
Published: (2024)
by: Pati, Tarun, et al.
Published: (2024)
Robust Tracking of Curvature-Constrained Paths for Uncertain Dubins Systems
by: Xue, Xingjian, et al.
Published: (2026)
by: Xue, Xingjian, et al.
Published: (2026)
Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets
by: Xu, Yuezhu, et al.
Published: (2025)
by: Xu, Yuezhu, et al.
Published: (2025)
Optimal Interval Observers for Bounded Jacobian Nonlinear Dynamical Systems
by: Khajenejad, Mohammad, et al.
Published: (2024)
by: Khajenejad, Mohammad, et al.
Published: (2024)
Time-Invariant Polytopic and Interval Observers for Uncertain Linear Systems via Non-Square Transformation
by: Zhu, Feiya, et al.
Published: (2025)
by: Zhu, Feiya, et al.
Published: (2025)
Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
by: Niloy, MD Abul Kashem, et al.
Published: (2026)
by: Niloy, MD Abul Kashem, et al.
Published: (2026)
Opt-ODENet: A Neural ODE Framework with Differentiable QP Layers for Safe and Stable Control Design (longer version)
by: Miao, Keyan, et al.
Published: (2025)
by: Miao, Keyan, et al.
Published: (2025)
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
by: Ajeyemi, Damola, et al.
Published: (2025)
by: Ajeyemi, Damola, et al.
Published: (2025)
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
by: Hirt, Sebastian, et al.
Published: (2024)
by: Hirt, Sebastian, et al.
Published: (2024)
Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
by: Lu, Ke, et al.
Published: (2024)
by: Lu, Ke, et al.
Published: (2024)
Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets
by: Modares, Amir, et al.
Published: (2025)
by: Modares, Amir, et al.
Published: (2025)
Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)
by: Zhou, Tianyu, et al.
Published: (2025)
Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
Safe Distributed Learning-Enhanced Predictive Control for Multiple Quadrupedal Robots
by: Zhan, Weishu, et al.
Published: (2025)
by: Zhan, Weishu, et al.
Published: (2025)
Synthesizing Controller for Safe Navigation using Control Density Function
by: Moyalan, Joseph, et al.
Published: (2024)
by: Moyalan, Joseph, et al.
Published: (2024)
Safe-by-Design: Approximate Nonlinear Model Predictive Control with Real Time Feasibility
by: Olucak, Jan, et al.
Published: (2025)
by: Olucak, Jan, et al.
Published: (2025)
Distributed Safe Control Design and Probabilistic Safety Verification for Multi-Agent Systems
by: Wang, Han, et al.
Published: (2023)
by: Wang, Han, et al.
Published: (2023)
Safe Data-Driven Control and Dynamical Learning via Constrained Neural Architectures and Koopman Operators
by: Feng, Lin, et al.
Published: (2026)
by: Feng, Lin, et al.
Published: (2026)
Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)
by: Prajapat, Manish, et al.
Published: (2025)
Parameterized Fast and Safe Tracking (FaSTrack) using Deepreach
by: Jeong, Hyun Joe, et al.
Published: (2024)
by: Jeong, Hyun Joe, et al.
Published: (2024)
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Synthesizing Control Lyapunov-Value Functions for High-Dimensional Systems Using System Decomposition and Admissible Control Sets
by: Gong, Zheng, et al.
Published: (2024)
by: Gong, Zheng, et al.
Published: (2024)
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
by: Hu, Hanjiang, et al.
Published: (2024)
by: Hu, Hanjiang, et al.
Published: (2024)
Synthesis of Deep Neural Networks with Safe Robust Adaptive Control for Reliable Operation of Wheeled Mobile Robots
by: Shahna, Mehdi Heydari, et al.
Published: (2025)
by: Shahna, Mehdi Heydari, et al.
Published: (2025)
Constrained Diffusers for Safe Planning and Control
by: Zhang, Jichen, et al.
Published: (2025)
by: Zhang, Jichen, et al.
Published: (2025)
Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
by: Clement, Mihaela-Larisa, et al.
Published: (2026)
by: Clement, Mihaela-Larisa, et al.
Published: (2026)
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier -- Lyapunov Condition
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
Safe Physics-Informed Machine Learning for Dynamics and Control
by: Drgona, Jan, et al.
Published: (2025)
by: Drgona, Jan, et al.
Published: (2025)
Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)
by: Mohamed, Amr S., et al.
Published: (2025)
Safe Control and Learning Using Generalized Action Governor
by: Fang, Peiyuan, et al.
Published: (2022)
by: Fang, Peiyuan, et al.
Published: (2022)
A Duality-Based Optimization Formulation of Safe Control Design with State Uncertainties
by: Tan, Xiao, et al.
Published: (2026)
by: Tan, Xiao, et al.
Published: (2026)
Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations
by: Yang, Zewen, et al.
Published: (2024)
by: Yang, Zewen, et al.
Published: (2024)
Safe Control of Multi-Agent Systems with Minimal Communication
by: Yang, Mo, et al.
Published: (2025)
by: Yang, Mo, et al.
Published: (2025)
Provably Safe Control for Constrained Nonlinear Systems with Bounded Input
by: Kumar, Saurabh, et al.
Published: (2025)
by: Kumar, Saurabh, et al.
Published: (2025)
Data-based Low-conservative Nonlinear Safe Control Learning
by: Modares, Amir, et al.
Published: (2026)
by: Modares, Amir, et al.
Published: (2026)
Unifying Direct and Indirect Learning for Safe Control of Linear Systems
by: Modares, Amir, et al.
Published: (2025)
by: Modares, Amir, et al.
Published: (2025)
Safe Reinforcement Learning for Power System Control: A Review
by: Yu, Peipei, et al.
Published: (2024)
by: Yu, Peipei, et al.
Published: (2024)
Privacy Preservation by Local Design in Cooperative Networked Control Systems
by: Yang, Chao, et al.
Published: (2022)
by: Yang, Chao, et al.
Published: (2022)
Similar Items
-
Safety-Critical Control with Offline-Online Neural Network Inference
by: Zhang, Junhui, et al.
Published: (2024) -
Tight Remainder-Form Decomposition Functions with Applications to Constrained Reachability and Guaranteed State Estimation
by: Khajenejad, Mohammad, et al.
Published: (2021) -
Control Barrier Functions for Linear Continuous-Time Input-Delay Systems with Limited-Horizon Previewable Disturbances
by: Pati, Tarun, et al.
Published: (2024) -
Robust Tracking of Curvature-Constrained Paths for Uncertain Dubins Systems
by: Xue, Xingjian, et al.
Published: (2026) -
Learning Neural Network Safe Tracking Controllers from Backward Reachable Sets
by: Xu, Yuezhu, et al.
Published: (2025)