Carl Folkestad

11 papers A* 3C 2Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2022 A* conf
KoopNet: Joint Learning of Koopman Bilinear Models and Function Dictionaries with Application to Quadrotor Trajectory Tracking.
ICRA
Carl Folkestad, Skylar X. Wei, Joel W. Burdick
2021 J jnl
Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions With Koopman Operators.
IEEE Control. Syst. Lett.
Carl Folkestad, Yuxiao Chen, Aaron D. Ames, Joel W. Burdick
2021 C conf
Data-Driven Safety-Critical Control: Synthesizing Control Barrier Functions with Koopman Operators.
ACC
Carl Folkestad, Yuxiao Chen, Aaron D. Ames, Joel W. Burdick
2021 A* conf
Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems.
ICRA
Carl Folkestad, Joel W. Burdick
2021 J jnl
Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems.
CoRR
Carl Folkestad, Joel W. Burdick
2021 J jnl
Quadrotor Trajectory Tracking with Learned Dynamics: Joint Koopman-based Learning of System Models and Function Dictionaries.
CoRR
Carl Folkestad, Skylar X. Wei, Joel W. Burdick
2020 — conf
Ensemble Model Predictive Control: Learning and Efficient Robust Control of Uncertain Dynamical Systems.
CDC
Daniel Pastor, Carl Folkestad, Joel W. Burdick
2020 A* conf
Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing.
ICRA
Carl Folkestad, Daniel Pastor, Joel W. Burdick
2020 J jnl
Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing.
CoRR
Carl Folkestad, Daniel Pastor, Joel W. Burdick
2020 C conf
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control.
ACC
Carl Folkestad, Daniel Pastor, Igor Mezic, Ryan Mohr, Maria Fonoberova, Joel Burdick
2019 J jnl
Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control.
CoRR
Carl Folkestad, Daniel Pastor, Igor Mezic, Ryan Mohr, Maria Fonoberova, Joel Burdick