Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics

14 November 2020

Papers citing "Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics"

21 / 21 papers shown

Title
Random Features Approximation for Control-Affine Systems Kimia Kazemian Yahya Sattar Sarah Dean 49 1 0 10 Jun 2024
Distributionally Robust Policy and Lyapunov-Certificate Learning Kehan Long Jorge Cortés Nikolay A. Atanasov 32 2 0 03 Apr 2024
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller Mingxin Yu Chenning Yu M.-Mahdi Naddaf-Sh Devesh Upadhyay Sicun Gao Chuchu Fan 41 4 0 01 Apr 2024
Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes Mohammad Aali Jun Liu 20 0 0 26 Mar 2024
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving Lei Zheng Rui Yang Zeng Peng Wei Yan Michael Yu Wang Jun Ma 29 2 0 07 Mar 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models Yu Zhang Long Wen Xiangtong Yao Zhenshan Bing Linghuan Kong Wei He Alois C. Knoll 32 1 0 29 Feb 2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems Lukas Brunke Siqi Zhou Mingxuan Che Angela P. Schoellig 10 5 0 15 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 K. Sreenath 25 3 0 23 Nov 2023
A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions Neil C. Janwani Ersin Daş Thomas Touma Skylar X. Wei Tamas G. Molnar J. W. Burdick 27 2 0 09 Oct 2023
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter Adam W. Hall Melissa Greeff Angela P. Schoellig 15 5 0 20 Jul 2023
Distributionally Robust Lyapunov Function Search Under Uncertainty Kehan Long Yinzhuang Yi Jorge Cortés Nikolay A. Atanasov 16 8 0 03 Dec 2022
Gaussian Process Barrier States for Safe Trajectory Optimization and Control Hassan Almubarak Manan S. Gandhi Yuichiro Aoyama N. Sadegh Evangelos A. Theodorou 16 0 0 01 Dec 2022
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees Ewerton R. Vieira A. Sivaramakrishnan Yao Song Edgar Granados Marcio Gameiro Konstantin Mischaikow Ying Hung Kostas E. Bekris AI4CE 17 3 0 04 Oct 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin K. Sreenath 40 6 0 23 Aug 2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning T. Westenbroek F. Castañeda Ayush Agrawal S. Shankar Sastry K. Sreenath 20 24 0 13 Aug 2022
Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety Mouhyemen Khan Tatsuya Ibuki Abhijit Chatterjee 14 13 0 29 Mar 2022
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update Zhixuan Wu Ruicong Yang Lei Zheng Hui Cheng 20 12 0 07 Mar 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 20 228 0 23 Feb 2022
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions Athindran Ramesh Kumar Sulin Liu J. F. Fisac Ryan P. Adams Peter J. Ramadge 11 4 0 22 Dec 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 19 50 0 13 Jun 2021
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