Joel A. Rosenfeld

40 papers C 10Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic mode decomposition of higher order systems. Autom. Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar
2025	C	`conf`	On Dynamic Mode Decomposition of Control-Affine Systems. ACC Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2025	J	`jnl`	On Dynamic Mode Decomposition of Control-affine Systems. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	Dynamic Mode Decomposition With Control Liouville Operators. IEEE Trans. Autom. Control. Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators. IEEE Control. Syst. Lett. Zachary Morrison, Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	The Kernel Perspective on Dynamic Mode Decomposition. Trans. Mach. Learn. Res. Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2024	J	`jnl`	The Occupation Kernel Method for Nonlinear System Identification. SIAM J. Control. Optim. Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar, Taylor T. Johnson
2023	C	`conf`	Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. ACC Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2023	—	`conf`	Convergent Dynamic Mode Decomposition. CDC Joel A. Rosenfeld, Rushikesh Kamalapurkar
2023	C	`conf`	Modeling Partially Unknown Dynamics with Continuous Time DMD ACC Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2023	J	`jnl`	Singular Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Joel A. Rosenfeld, Rushikesh Kamalapurkar
2022	J	`jnl`	Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2022	J	`jnl`	Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator. J. Nonlinear Sci. Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
2022	J	`jnl`	Fractional Order System Identification With Occupation Kernel Regression. IEEE Control. Syst. Lett. Xiuying Li, Joel A. Rosenfeld
2021	J	`jnl`	An occupation kernel approach to optimal control. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld
2021	J	`jnl`	Anti-Koopmanism. CoRR Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2021	J	`jnl`	Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. CoRR Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2021	C	`conf`	Fractional Order System Identification with Occupation Kernel Regression. ACC Xiuying Li, Joel A. Rosenfeld
2021	J	`jnl`	Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators. CoRR Joel A. Rosenfeld, Benjamin Russo, Xiuying Li
2021	C	`conf`	On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. ACC Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
2021	J	`jnl`	Singular Dynamic Mode Decompositions. CoRR Joel A. Rosenfeld, Rushikesh Kamalapurkar
2020	J	`jnl`	Approximate Optimal Motion Planning to Avoid Unknown Moving Avoidance Regions. IEEE Trans. Robotics Patryk Deptula, Hsi-Yuan Chen, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon
2019	J	`jnl`	A mesh-free pseudospectral approach to estimating the fractional Laplacian via radial basis functions. J. Comput. Phys. Joel A. Rosenfeld, Spencer A. Rosenfeld, Warren E. Dixon
2019	J	`jnl`	Invariance-Like Results for Nonautonomous Switched Systems. IEEE Trans. Autom. Control. Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
2019	—	`conf`	Occupation Kernels and Densely Defined Liouville Operators for System Identification. CDC Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson
2019	J	`jnl`	The State Following Approximation Method. IEEE Trans. Neural Networks Learn. Syst. Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2018	J	`jnl`	Approximate Dynamic Programming: Combining Regional and Local State Following Approximations. IEEE Trans. Neural Networks Learn. Syst. Patryk Deptula, Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2018	C	`conf`	Online Approximate Optimal Path-Planner in the Presence of Mobile Avoidance Regions. ACC Patryk Deptula, Ryan A. Licitra, Joel A. Rosenfeld, Warren E. Dixon
2018	C	`conf`	Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers. ACC Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson
2018	J	`jnl`	Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers. CoRR Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld, Taylor T. Johnson
2018	J	`jnl`	Verification for Machine Learning, Autonomy, and Neural Networks Survey. CoRR Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson
2017	J	`jnl`	Approximating the Caputo Fractional Derivative through the Mittag-Leffler Reproducing Kernel Hilbert Space and the Kernelized Adams-Bashforth-Moulton Method. SIAM J. Numer. Anal. Joel A. Rosenfeld, Warren E. Dixon
2016	J	`jnl`	A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
2016	J	`jnl`	Efficient model-based reinforcement learning for approximate online optimal control. Autom. Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2015	J	`jnl`	Efficient model-based reinforcement learning for approximate online optimal. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2015	C	`conf`	State following (StaF) kernel functions for function approximation Part I: Theory and motivation. ACC Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2015	C	`conf`	State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. ACC Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2014	C	`conf`	Decentralized formation control with connectivity maintenance and collision avoidance under limited and intermittent sensing. ACC Teng-Hu Cheng, Zhen Kan, Joel A. Rosenfeld, Warren E. Dixon
2013	J	`jnl`	Decentralized formation control with connectivity maintenance and collision avoidance under limited and intermittent sensing. CoRR Teng-Hu Cheng, Zhen Kan, Joel A. Rosenfeld, Warren E. Dixon