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Joel A. Rosenfeld
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2020 – today
- 2024
- [j12]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: 79-84 (2024) - [j11]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): 1643-1668 (2024) - [i12]Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar:
On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression. CoRR abs/2409.12285 (2024) - 2023
- [j10]Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Singular Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 22(3): 2357-2381 (2023) - [c11]Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. ACC 2023: 929-934 - [c10]Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld:
Modeling Partially Unknown Dynamics with Continuous Time DMD*. ACC 2023: 2913-2918 - [c9]Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Convergent Dynamic Mode Decomposition. CDC 2023: 4972-4977 - 2022
- [j9]Xiuying Li, Joel A. Rosenfeld:
Fractional Order System Identification With Occupation Kernel Regression. IEEE Control. Syst. Lett. 6: 19-24 (2022) - [j8]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): 5 (2022) - [i11]Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. CoRR abs/2205.15009 (2022) - 2021
- [c8]Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson:
On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. ACC 2021: 3957-3962 - [c7]Xiuying Li, Joel A. Rosenfeld:
Fractional Order System Identification with Occupation Kernel Regression. ACC 2021: 4001-4006 - [i10]Joel A. Rosenfeld, Benjamin Russo, Xiuying Li:
Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators. CoRR abs/2102.13266 (2021) - [i9]Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. CoRR abs/2106.00103 (2021) - [i8]Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld:
Anti-Koopmanism. CoRR abs/2106.00106 (2021) - [i7]Rushikesh Kamalapurkar, Joel A. Rosenfeld:
An occupation kernel approach to optimal control. CoRR abs/2106.00663 (2021) - [i6]Joel A. Rosenfeld, Rushikesh Kamalapurkar:
Singular Dynamic Mode Decompositions. CoRR abs/2106.02639 (2021) - 2020
- [j7]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): 414-430 (2020)
2010 – 2019
- 2019
- [j6]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: 306-322 (2019) - [j5]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): 614-627 (2019) - [j4]Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon:
The State Following Approximation Method. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1716-1730 (2019) - [c6]Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson:
Occupation Kernels and Densely Defined Liouville Operators for System Identification. CDC 2019: 6455-6460 - 2018
- [j3]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): 2154-2166 (2018) - [c5]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: 1574-1579 - [c4]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: 2515-2520 - [i5]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 abs/1802.06981 (2018) - [i4]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 abs/1810.01989 (2018) - 2017
- [j2]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): 1201-1217 (2017) - 2016
- [j1]Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon:
Efficient model-based reinforcement learning for approximate online optimal control. Autom. 74: 247-258 (2016) - [i3]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 abs/1609.05880 (2016) - 2015
- [c3]Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon:
State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. ACC 2015: 521-526 - [c2]Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon:
State following (StaF) kernel functions for function approximation Part I: Theory and motivation. ACC 2015: 1217-1222 - [i2]Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon:
Efficient model-based reinforcement learning for approximate online optimal. CoRR abs/1502.02609 (2015) - 2014
- [c1]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: 3201-3206 - 2013
- [i1]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 abs/1310.0371 (2013)
Coauthor Index
aka: Rushikesh Kamalapurkar
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last updated on 2024-10-18 19:31 CEST by the dblp team
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