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System-level Safety Guard: Safe Tracking Control through Uncertain
  Neural Network Dynamics Models

System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models

11 December 2023
Xiao Li
Yutong Li
Anouck Girard
Ilya Kolmanovsky
ArXivPDFHTML

Papers citing "System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models"

8 / 8 papers shown
Title
Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
Xiao Li
Tianhao Wei
Changliu Liu
Anouck Girard
Ilya Kolmanovsky
9
0
0
15 May 2025
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
Hanjiang Hu
Alexander Robey
Changliu Liu
AAML
LLMSV
49
1
0
28 Feb 2025
Real-Time Safe Control of Neural Network Dynamic Models with Sound
  Approximation
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
Hanjiang Hu
Jianglin Lan
Changliu Liu
47
4
0
20 Apr 2024
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based
  Adaptive Cruise Control
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
Xiao Li
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
30
1
0
22 Mar 2024
Enforcing safety for vision-based controllers via Control Barrier
  Functions and Neural Radiance Fields
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields
Mukun Tong
Charles Dawson
Chuchu Fan
53
29
0
25 Sep 2022
Set-theoretic Localization for Mobile Robots with Infrastructure-based
  Sensing
Set-theoretic Localization for Mobile Robots with Infrastructure-based Sensing
Xiao Li
Yutong Li
Nan I. Li
Anouck Girard
Ilya Kolmanovsky
19
1
0
04 Oct 2021
Safe Control with Neural Network Dynamic Models
Safe Control with Neural Network Dynamic Models
Tianhao Wei
Changliu Liu
38
36
0
03 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1