Joel A. Rosenfeld

According to our database, Joel A. Rosenfeld authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic Mode Decomposition With Control Liouville Operators.

Joel A. Rosenfeld, Rushikesh Kamalapurkar

IEEE Trans. Autom. Control., December, 2024

The Occupation Kernel Method for Nonlinear System Identification.

Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar, Taylor T. Johnson

SIAM J. Control. Optim., 2024

Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators.

Zachary Morrison, Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar

IEEE Control. Syst. Lett., 2024

On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression.

Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar

CoRR, 2024

2023

Singular Dynamic Mode Decomposition.

Joel A. Rosenfeld, Rushikesh Kamalapurkar

SIAM J. Appl. Dyn. Syst., September, 2023

Convergent Dynamic Mode Decomposition.

Joel A. Rosenfeld, Rushikesh Kamalapurkar

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Modeling Partially Unknown Dynamics with Continuous Time DMD^*.

Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld

Proceedings of the American Control Conference, 2023

Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds.

Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar

Proceedings of the American Control Conference, 2023

2022

Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator.

Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson

J. Nonlinear Sci., 2022

Fractional Order System Identification With Occupation Kernel Regression.

Xiuying Li, Joel A. Rosenfeld

IEEE Control. Syst. Lett., 2022

2021

Singular Dynamic Mode Decompositions.

Joel A. Rosenfeld, Rushikesh Kamalapurkar

CoRR, 2021

An occupation kernel approach to optimal control.

Rushikesh Kamalapurkar, Joel A. Rosenfeld

CoRR, 2021

Anti-Koopmanism.

Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld

CoRR, 2021

Control Occupation Kernel Regression for Nonlinear Control-Affine Systems.

Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar

CoRR, 2021

Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators.

Joel A. Rosenfeld, Benjamin Russo, Xiuying Li

CoRR, 2021

On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition.

Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson

Proceedings of the 2021 American Control Conference, 2021

2020

Approximate Optimal Motion Planning to Avoid Unknown Moving Avoidance Regions.

Patryk Deptula, Hsi-Yuan Chen, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon

IEEE Trans. Robotics, 2020

2019

The State Following Approximation Method.

Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon

IEEE Trans. Neural Networks Learn. Syst., 2019

Invariance-Like Results for Nonautonomous Switched Systems.

Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon

IEEE Trans. Autom. Control., 2019

A mesh-free pseudospectral approach to estimating the fractional Laplacian via radial basis functions.

Joel A. Rosenfeld, Spencer A. Rosenfeld, Warren E. Dixon

J. Comput. Phys., 2019

Occupation Kernels and Densely Defined Liouville Operators for System Identification.

Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Approximate Dynamic Programming: Combining Regional and Local State Following Approximations.

Patryk Deptula, Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon

IEEE Trans. Neural Networks Learn. Syst., 2018

Verification for Machine Learning, Autonomy, and Neural Networks Survey.

Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson

CoRR, 2018

Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers.

Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson

Proceedings of the 2018 Annual American Control Conference, 2018

Online Approximate Optimal Path-Planner in the Presence of Mobile Avoidance Regions.

Patryk Deptula, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Approximating the Caputo Fractional Derivative through the Mittag-Leffler Reproducing Kernel Hilbert Space and the Kernelized Adams-Bashforth-Moulton Method.

Joel A. Rosenfeld, Warren E. Dixon

SIAM J. Numer. Anal., 2017

2016

A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control.

Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon

CoRR, 2016

Efficient model-based reinforcement learning for approximate online optimal control.

Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon

Autom., 2016

2015

Efficient model-based reinforcement learning for approximate online optimal.

Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon

CoRR, 2015

State following (StaF) kernel functions for function approximation Part I: Theory and motivation.

Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon

Proceedings of the American Control Conference, 2015

State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming.

Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon

Proceedings of the American Control Conference, 2015

2014

Decentralized formation control with connectivity maintenance and collision avoidance under limited and intermittent sensing.

Teng-Hu Cheng, Zhen Kan, Joel A. Rosenfeld, Warren E. Dixon

Proceedings of the American Control Conference, 2014