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Nathan R Powell
Nathan R Powell
Geverifieerd e-mailadres voor vt.edu
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Learning bioinspired joint geometry from motion capture data of bat flight
M Bender, J Guo, N Powell, A Kurdila, R Müller
Bioinspiration & biomimetics 14 (3), 036013, 2019
82019
Koopman methods for estimation of animal motions over unknown, regularly embedded submanifolds
N Powell, B Liu, AJ Kurdila
arXiv preprint arXiv:2203.05646, 2022
52022
Distribution-free learning theory for approximating submanifolds from reptile motion capture data
N Powell, AJ Kurdila
Computational Mechanics 68 (2), 337-356, 2021
42021
Learning theory for estimation of animal motion submanifolds
N Powell, AJ Kurdila
2020 59th IEEE Conference on Decision and Control (CDC), 4941-4946, 2020
42020
Data-driven control synthesis using Koopman operator: A robust approach
M Eyuboglu, NR Powell, A Karimi
22024
Empirical potential functions for driving bioinspired joint design
M Bender, A George, N Powell, A Kurdila, R Müller
Journal of Dynamic Systems, Measurement, and Control 141 (3), 031004, 2019
22019
Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems
N Powell, A Bouland, J Burns, A Kurdila
2023 62nd IEEE Conference on Decision and Control (CDC), 657-664, 2023
12023
Approximation of discrete and orbital Koopman operators over subsets and manifolds
AJ Kurdila, ST Paruchuri, N Powell, J Guo, P Bobade, B Estes, H Wang
Nonlinear Dynamics, 1-37, 2024
2024
The Power Function for Adaptive Control in Native Space Embedding
H Wang, N Powell, A L’Afflitto, AJ Kurdila, J Burns
2023 62nd IEEE Conference on Decision and Control (CDC), 1943-1948, 2023
2023
MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels
H Wang, B Scurlock, N Powell, A L’Afflitto, AJ Kurdila
IEEE Control Systems Letters, 2023
2023
Kernel methods for regression in continuous time over subsets and manifolds
J Burns, B Estes, J Guo, A Kurdila, ST Paruchuri, N Powell
Nonlinear Dynamics 111 (14), 13165-13186, 2023
2023
Koopman Operators and Inverse Problems
H Wang, J Burns, J Guo, A Kurdila, ST Paruchuri, N Powell
IEICE Proceedings Series 71 (B1L-B-02), 2022
2022
Approximation of Koopman Operators: Irregular Domains and Positive Orbits
N Powell, R Liu, J Guo, ST Paruchuri, J Burns, B Estes, AJ Kurdila
2022 IEEE 61st Conference on Decision and Control (CDC), 4732-4739, 2022
2022
Modeling and Estimation of Motion Over Manifolds with Motion Capture Data
NR Powell
Virginia Tech, 2022
2022
Kernel Methods for Regression in Continuous Time over Subsets and Manifolds
N Powell, J Guo, ST Parachuri, J Burns, B Estes, A Kurdila
arXiv preprint arXiv:2209.03804, 2022
2022
Koopman Methods for Estimation of Motion over Unknown, Regularly Embedded Submanifolds
N Powell, B Liu, AJ Kurdila
2022 American Control Conference (ACC), 2584-2591, 2022
2022
Koopman Methods for Estimation of Animal Motions over Unknown Submanifolds
N Powell, B Liu, J Guo, ST Parachuri, AJ Kurdila
arXiv preprint arXiv:2203.05646, 2022
2022
Probabilistic error bounds on constraint violation for empirical-analytical Lagrangian models of motion
J Guo, S Dadashi, M Bender, ST Paruchuri, N Powell, Y Sharma, ...
Nonlinear Dynamics 98, 195-213, 2019
2019
Group ID U13818
M Eyuboglu, V Gupta, A Karimi, SS Madani, NR Powell, Z Qin, ...
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Artikelen 1–19