Neural Lyapunov Control

1 May 2020

Papers citing "Neural Lyapunov Control"

50 / 55 papers shown

Title
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Kehan Long Jorge Cortés Nikolay Atanasov 17 0 0 16 May 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 58 0 0 19 Mar 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications Xuan Di Yongjie Fu Mehmet K.Turkcan Mahshid Ghasemi Zhaobin Mo Chengbo Zang Abhishek Adhikari Z. Kostić Gil Zussman AI4CE 49 0 0 30 Dec 2024
Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction Jielong Yang Rui Ding Feng Ji Hongbin Wang Linbo Xie 47 0 0 13 Oct 2024
Safe and Dynamically-Feasible Motion Planning using Control Lyapunov and Barrier Functions Pol Mestres Carlos Nieto-Granda Jorge Cortés 51 1 0 10 Oct 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia Herbert 45 6 0 12 Jul 2024
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 146 4 0 28 May 2024
Distributionally Robust Policy and Lyapunov-Certificate Learning Kehan Long Jorge Cortés Nikolay Atanasov 49 3 0 03 Apr 2024
Manifold-Guided Lyapunov Control with Diffusion Models Amartya Mukherjee Thanin Quartz Jun Liu 52 0 0 26 Mar 2024
Globally Stable Neural Imitation Policies Amin Abyaneh Mariana Sosa Guzmán Hsiu-Chin Lin 48 2 0 07 Mar 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 38 3 0 23 Dec 2023
Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification Jun Liu Yiming Meng Maxwell Fitzsimmons Rui Zhou 36 16 0 14 Dec 2023
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 Koushil Sreenath 42 3 0 23 Nov 2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning Mengyu Liu Pengyuan Lu Xin Chen Fanxin Kong O. Sokolsky Insup Lee 31 3 0 25 Apr 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies Tsun-Hsuan Wang Wei Xiao Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 35 6 0 05 Apr 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs Miroslav Krstic Luke Bhan Yuanyuan Shi 59 28 0 18 Mar 2023
Hybrid Systems Neural Control with Region-of-Attraction Planner Yue Meng Chuchu Fan 34 1 0 18 Mar 2023
Data-Driven Control with Inherent Lyapunov Stability Youngjae Min Spencer M. Richards Navid Azizan 37 7 0 06 Mar 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators Yannik P. Wotte Sven Dummer N. Botteghi C. Brune Stefano Stramigioli Federico Califano 36 5 0 29 Dec 2022
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 24 39 0 20 Nov 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 2022
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees Dorde Zikelic Mathias Lechner T. Henzinger K. Chatterjee 29 22 0 11 Oct 2022
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 40 26 0 28 Sep 2022
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems Amit Jena Tong Huang S. Sivaranjani D. Kalathil Le Xie 35 2 0 15 Jul 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees Rui Zhou Thanin Quartz H. Sterck Jun Liu 27 47 0 04 Jun 2022
Safety Certification for Stochastic Systems via Neural Barrier Functions Frederik Baymler Mathiesen S. Calvert Luca Laurenti 41 35 0 03 Jun 2022
Learning Stabilizing Policies in Stochastic Control Systems Dorde Zikelic Mathias Lechner K. Chatterjee T. Henzinger 29 3 0 24 May 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 47 13 0 22 May 2022
Certifiable Robot Design Optimization using Differentiable Programming Charles Dawson Chuchu Fan 25 7 0 22 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 34 10 0 15 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 42 24 0 14 Apr 2022
Learning Stabilizable Deep Dynamics Models Kenji Kashima Ryota Yoshiuchi Yutaka Kawano 29 4 0 18 Mar 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 46 232 0 23 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 38 51 0 05 Feb 2022
Neural Koopman Lyapunov Control Vrushabh Zinage E. Bakolas 27 28 0 13 Jan 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems Zengyi Qin Dawei Sun Chuchu Fan 31 43 0 06 Jan 2022
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates Charles Dawson Bethany Lowenkamp D. Goff Chuchu Fan 52 53 0 04 Jan 2022
Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation W. Kang Kai Sun Liang Xu 20 13 0 29 Dec 2021
Total Energy Shaping with Neural Interconnection and Damping Assignment -- Passivity Based Control Santiago Sanchez-Escalonilla Rodolfo Reyes-Báez B. Jayawardhana 36 8 0 24 Dec 2021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System Ruigang Wang Nicholas H. Barbara Max Revay I. Manchester 25 16 0 08 Dec 2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 47 42 0 18 Nov 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen Philippe Wenk Andreas Krause Florian Dorfler 40 16 0 27 Oct 2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement Tianyu Shi Dong Chen Kaian Chen Zhaojian Li OffRL 39 31 0 13 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 15 9 0 05 Oct 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 26 119 0 29 Sep 2021
Learning Density Distribution of Reachable States for Autonomous Systems Yue Meng Dawei Sun Zeng Qiu Md Tawhid Bin Waez Chuchu Fan 82 19 0 14 Sep 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 120 173 0 14 Sep 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 23 57 0 11 Jul 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 45 20 0 26 Mar 2021