Joel A. Rosenfeld

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Nonlinear Systems

Dynamic Programming

Reinforcement Learning

Optimal Control

Top Venues

IEEE Control. Syst. Lett.

Publications

Zachary Morrison, Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators. IEEE Control. Syst. Lett. 8 (2024)
Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar, Taylor T. Johnson
The Occupation Kernel Method for Nonlinear System Identification. SIAM J. Control. Optim. 62 (3) (2024)
Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld
. ACC (2023)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Convergent Dynamic Mode Decomposition. CDC (2023)
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. ACC (2023)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Singular Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 22 (3) (2023)
Xiuying Li, Joel A. Rosenfeld
Fractional Order System Identification With Occupation Kernel Regression. IEEE Control. Syst. Lett. 6 (2022)
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. CoRR (2022)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator. J. Nonlinear Sci. 32 (1) (2022)
Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. CoRR (2021)
Rushikesh Kamalapurkar, Joel A. Rosenfeld
An occupation kernel approach to optimal control. CoRR (2021)
Xiuying Li, Joel A. Rosenfeld
Fractional Order System Identification with Occupation Kernel Regression. ACC (2021)
Joel A. Rosenfeld, Benjamin Russo, Xiuying Li
Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators. CoRR (2021)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. ACC (2021)
Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
Anti-Koopmanism. CoRR (2021)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Singular Dynamic Mode Decompositions. CoRR (2021)
Patryk Deptula, Hsi-Yuan Chen, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon
Approximate Optimal Motion Planning to Avoid Unknown Moving Avoidance Regions. IEEE Trans. Robotics 36 (2) (2020)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
Invariance-Like Results for Nonautonomous Switched Systems. IEEE Trans. Autom. Control. 64 (2) (2019)
Joel A. Rosenfeld, Spencer A. Rosenfeld, Warren E. Dixon
A mesh-free pseudospectral approach to estimating the fractional Laplacian via radial basis functions. J. Comput. Phys. 390 (2019)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson
Occupation Kernels and Densely Defined Liouville Operators for System Identification. CDC (2019)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
The State Following Approximation Method. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson
Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers. ACC (2018)
Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson
Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers. CoRR (2018)
Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson
Verification for Machine Learning, Autonomy, and Neural Networks Survey. CoRR (2018)
Patryk Deptula, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon
Online Approximate Optimal Path-Planner in the Presence of Mobile Avoidance Regions. ACC (2018)
Patryk Deptula, Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
Approximate Dynamic Programming: Combining Regional and Local State Following Approximations. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Joel A. Rosenfeld, Warren E. Dixon
Approximating the Caputo Fractional Derivative through the Mittag-Leffler Reproducing Kernel Hilbert Space and the Kernelized Adams-Bashforth-Moulton Method. SIAM J. Numer. Anal. 55 (3) (2017)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control. CoRR (2016)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
Efficient model-based reinforcement learning for approximate online optimal control. Autom. 74 (2016)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
State following (StaF) kernel functions for function approximation Part I: Theory and motivation. ACC (2015)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
Efficient model-based reinforcement learning for approximate online optimal. CoRR (2015)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. ACC (2015)
Teng-Hu Cheng, Zhen Kan, Joel A. Rosenfeld, Warren E. Dixon
Decentralized formation control with connectivity maintenance and collision avoidance under limited and intermittent sensing. ACC (2014)
Teng-Hu Cheng, Zhen Kan, Joel A. Rosenfeld, Warren E. Dixon
Decentralized formation control with connectivity maintenance and collision avoidance under limited and intermittent sensing. CoRR (2013)