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Safe Control with Learned Certificates: A Survey of Neural Lyapunov,
  Barrier, and Contraction methods

Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods

23 February 2022
Charles Dawson
Sicun Gao
Chuchu Fan
ArXivPDFHTML

Papers citing "Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods"

32 / 32 papers shown
Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Learning Neural Control Barrier Functions from Offline Data with Conservatism
Ihab Tabbara
Hussein Sibai
OffRL
57
0
0
01 May 2025
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
Kanghong Shi
Ruigang Wang
I. Manchester
24
0
0
28 Apr 2025
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Ken-Joel Simmoteit
Philipp Schillinger
Leonel Rozo
16
0
0
26 Apr 2025
Is Bellman Equation Enough for Learning Control?
Haoxiang You
Lekan Molu
Ian Abraham
68
0
0
04 Mar 2025
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou
Jie Feng
Hao Zhao
Yuanyuan Shi
90
0
0
04 Feb 2025
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
Vladislav Nenchev
101
0
0
30 Jan 2025
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Francisco Giral
Ignacio Gómez
Ricardo Vinuesa
S. L. Clainche
32
2
0
05 Nov 2024
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints
Xiaoyang Cao
Zhe Fu
Alexandre M. Bayen
21
0
0
05 Oct 2024
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Taekyung Kim
Robin Inho Kee
Dimitra Panagou
36
6
0
22 Sep 2024
Neural Control Barrier Functions for Safe Navigation
Neural Control Barrier Functions for Safe Navigation
Marvin Harms
M. Kulkarni
Nikhil Khedekar
Martin Jacquet
Kostas Alexis
38
7
0
29 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia L. Herbert
32
6
0
12 Jul 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
34
2
0
18 May 2024
Mobius Transformation-Based Circular Motion Control for Unicycle Robots
  in Nonconcentric Circular Geofences
Mobius Transformation-Based Circular Motion Control for Unicycle Robots in Nonconcentric Circular Geofences
Shubham Singh
Anoop Jain
18
0
0
11 May 2024
Learning Stable and Passive Neural Differential Equations
Learning Stable and Passive Neural Differential Equations
Jing Cheng
Ruigang Wang
I. Manchester
27
3
0
19 Apr 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Luca Ballotta
Rajat Talak
AI4CE
16
1
0
14 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
31
22
0
25 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex
  Safety Constraints and Limited Actuation
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
Shaoru Chen
Mahyar Fazlyab
27
6
0
11 Jan 2024
Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
Jun Liu
Yiming Meng
Maxwell Fitzsimmons
Rui Zhou
21
16
0
14 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety
  Filters in Uncertain Robotic Systems
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
Jason J. Choi
F. Castañeda
Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
K. Sreenath
25
3
0
23 Nov 2023
Detection of Unknown-Unknowns in Human-in-Plant Human-in-Loop Systems
  Using Physics Guided Process Models
Detection of Unknown-Unknowns in Human-in-Plant Human-in-Loop Systems Using Physics Guided Process Models
Aranyak Maity
Ayan Banerjee
S. Gupta
13
2
0
05 Sep 2023
Neural Operators of Backstepping Controller and Observer Gain Functions
  for Reaction-Diffusion PDEs
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Miroslav Krstic
Luke Bhan
Yuanyuan Shi
42
28
0
18 Mar 2023
Learning Responsibility Allocations for Safe Human-Robot Interaction
  with Applications to Autonomous Driving
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Ryan K. Cosner
Yuxiao Chen
Karen Leung
Marco Pavone
20
9
0
06 Mar 2023
Data-Driven Control with Inherent Lyapunov Stability
Data-Driven Control with Inherent Lyapunov Stability
Youngjae Min
Spencer M. Richards
Navid Azizan
16
7
0
06 Mar 2023
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
C. Păsăreanu
Ravi Mangal
D. Gopinath
Sinem Getir Yaman
Calum Imrie
R. Calinescu
Huafeng Yu
22
29
0
06 Feb 2023
Backward Reachability Analysis of Neural Feedback Loops: Techniques for
  Linear and Nonlinear Systems
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems
Nicholas Rober
Sydney M. Katz
Chelsea Sidrane
Esen Yel
Michael Everett
Mykel J. Kochenderfer
Jonathan P. How
27
26
0
28 Sep 2022
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
38
29
0
25 Sep 2022
Example When Local Optimal Policies Contain Unstable Control
Example When Local Optimal Policies Contain Unstable Control
B. Song
Jean-Jacques E. Slotine
Quang-Cuong Pham
34
1
0
15 Sep 2022
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function
  Approximation
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation
Nathan Gaby
Fumin Zhang
X. Ye
PINN
32
38
0
27 Sep 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
109
172
0
14 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier
  Certificates
Reactive and Safe Road User Simulations using Neural Barrier Certificates
Yue Meng
Zengyi Qin
Chuchu Fan
29
20
0
14 Sep 2021
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic
  Systems
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems
Andrew J. Taylor
Victor D. Dorobantu
Hoang Minh Le
Yisong Yue
Aaron D. Ames
110
78
0
04 Mar 2019
Control Design along Trajectories with Sums of Squares Programming
Control Design along Trajectories with Sums of Squares Programming
Anirudha Majumdar
Amir Ali Ahmadi
Russ Tedrake
97
139
0
02 Oct 2012
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