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Lyapunov-stable Neural Control for State and Output Feedback: A Novel
  Formulation

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation

11 April 2024
Lujie Yang
Hongkai Dai
Zhouxing Shi
Cho-Jui Hsieh
Russ Tedrake
Huan Zhang
ArXivPDFHTML

Papers citing "Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation"

15 / 15 papers shown
Title
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
H. Li
Xiangru Zhong
Bin Hu
Huan Zhang
41
0
0
23 Apr 2025
Learning Verifiable Control Policies Using Relaxed Verification
Learning Verifiable Control Policies Using Relaxed Verification
Puja Chaudhury
Alexander Estornell
Michael Everett
29
0
0
23 Apr 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
Luc McCutcheon
Bahman Gharesifard
Saber Fallah
41
0
0
19 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
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Long Kiu Chung
Shreyas Kousik
140
0
0
22 Jan 2025
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
Petar Bevanda
Nicolas Hosichen
Tobias Wittmann
Jan Brüdigam
Sandra Hirche
Boris Houska
68
0
0
02 Dec 2024
Certified Training with Branch-and-Bound: A Case Study on
  Lyapunov-stable Neural Control
Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control
Zhouxing Shi
Cho-Jui Hsieh
Huan Zhang
70
0
0
27 Nov 2024
Verification of Neural Control Barrier Functions with Symbolic
  Derivative Bounds Propagation
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
Hanjiang Hu
Yujie Yang
Tianhao Wei
Changliu Liu
AAML
24
6
0
04 Oct 2024
Formally Verified Physics-Informed Neural Control Lyapunov Functions
Formally Verified Physics-Informed Neural Control Lyapunov Functions
Jun Liu
Maxwell Fitzsimmons
Ruikun Zhou
Yiming Meng
29
2
0
30 Sep 2024
Autonomous Wheel Loader Navigation Using Goal-Conditioned Actor-Critic MPC
Autonomous Wheel Loader Navigation Using Goal-Conditioned Actor-Critic MPC
Aleksi Mäki-Penttilä
Naeim Ebrahimi Toulkani
Reza Ghabcheloo
27
0
0
24 Sep 2024
Combining Neural Networks and Symbolic Regression for Analytical
  Lyapunov Function Discovery
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery
Jie Feng
Haohan Zou
Yuanyuan Shi
27
2
0
21 Jun 2024
Distributionally Robust Policy and Lyapunov-Certificate Learning
Distributionally Robust Policy and Lyapunov-Certificate Learning
Kehan Long
Jorge Cortés
Nikolay A. Atanasov
32
2
0
03 Apr 2024
Convex synthesis and verification of control-Lyapunov and barrier
  functions with input constraints
Convex synthesis and verification of control-Lyapunov and barrier functions with input constraints
Hongkai Dai
Frank Permenter
21
36
0
02 Oct 2022
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
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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