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Parag Bobade
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Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces
P Bobade, S Majumdar, S Pereira, AJ Kurdila, JB Ferris
Advances in Computational Mathematics 45, 869-896, 2019
242019
Adaptive estimation in reproducing kernel hilbert spaces
P Bobade, S Majumdar, S Pereira, AJ Kurdila, JB Ferris
2017 American Control Conference (ACC), 5678-5683, 2017
182017
Koopman theory and linear approximation spaces
AJ Kurdila, P Bobade
arXiv preprint arXiv:1811.10809, 2018
162018
Persistence of excitation in reproducing kernel hilbert spaces, positive limit sets, and smooth manifolds
AJ Kurdila, J Guo, ST Paruchuri, P Bobade
arXiv preprint arXiv:1909.12274, 2019
122019
Multi-agent adaptive estimation with consensus in reproducing kernel Hilbert spaces
P Bobade, D Panagou, AJ Kurdila
2019 18th European Control Conference (ECC), 572-577, 2019
122019
Finite-Time Stability of Adaptive Parameter Estimation and Control
K Garg, P Bobade, D Panagou
arXiv preprint arXiv:1811.11151, 2018
22018
Error estimates for multiwavelet approximations of a class of history dependent operators
S Dadashi, P Bobade, AJ Kurdila
2016 IEEE 55th Conference on Decision and Control (CDC), 2276-2281, 2016
22016
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
Online estimation and adaptive control for a class of history dependent functional differential equations
S Dadashi, P Bobade, AJ Kurdila
Nonlinear Dynamics 92, 1431-1451, 2018
2018
Modeling, Approximation, and Control for a Class of Nonlinear Systems
PS Bobade
Virginia Tech, 2017
2017
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Artikelen 1–10