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Joshua L. Proctor
Joshua L. Proctor
Principal Scientist and Research Manager, Institute for Disease Modeling, Affiliate Assistant
Bestätigte E-Mail-Adresse bei idmod.org
Titel
Zitiert von
Zitiert von
Jahr
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
SL Brunton, JL Proctor, JN Kutz
Proceedings of the national academy of sciences 113 (15), 3932-3937, 2016
30782016
Dynamic mode decomposition: data-driven modeling of complex systems
JN Kutz, SL Brunton, BW Brunton, JL Proctor
Society for Industrial and Applied Mathematics, 2016
13632016
Data-driven discovery of partial differential equations
SH Rudy, SL Brunton, JL Proctor, JN Kutz
Science advances 3 (4), e1602614, 2017
12012017
Dynamic Mode Decomposition with control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 15 (1), 142–161, 2016
8102016
Dynamic mode decomposition with control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 15 (1), 142-161, 2016
8102016
Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control
SL Brunton, BW Brunton, JL Proctor, JN Kutz
PloS one 11 (2), e0150171, 2016
4692016
Chaos as an intermittently forced linear system
SL Brunton, BW Brunton, JL Proctor, E Kaiser, JN Kutz
Nature communications 8 (1), 19, 2017
4622017
Inferring biological networks by sparse identification of nonlinear dynamics
NM Mangan, SL Brunton, JL Proctor, JN Kutz
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 2 …, 2016
3402016
Generalizing Koopman theory to allow for inputs and control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 17 (1), 909-930, 2018
2802018
Model selection for dynamical systems via sparse regression and information criteria
NM Mangan, JN Kutz, SL Brunton, JL Proctor
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017
2382017
Sparse identification of nonlinear dynamics with control (SINDYc)
SL Brunton, JL Proctor, JN Kutz
IFAC-PapersOnLine 49 (18), 710-715, 2016
2172016
Discovering dynamic patterns from infectious disease data using dynamic mode decomposition
JL Proctor, PA Eckhoff
International health 7 (2), 139-145, 2015
1942015
Modeling malaria genomics reveals transmission decline and rebound in Senegal
RF Daniels, SF Schaffner, EA Wenger, JL Proctor, HH Chang, W Wong, ...
Proceedings of the National Academy of Sciences 112 (22), 7067-7072, 2015
1772015
Compressed sensing and dynamic mode decomposition
SL Brunton, JL Proctor, JH Tu, JN Kutz
Journal of computational dynamics 2 (2), 165-191, 2016
1492016
Passive mode-locking by use of waveguide arrays
JL Proctor, JN Kutz
Optics letters 30 (15), 2013-2015, 2005
942005
Model selection for hybrid dynamical systems via sparse regression
NM Mangan, T Askham, SL Brunton, JN Kutz, JL Proctor
Proceedings of the Royal Society A 475 (2223), 20180534, 2019
822019
Nonlinear mode-coupling for passive mode-locking: application of waveguide arrays, dual-core fibers, and/or fiber arrays
J Proctor, JN Kutz
Optics express 13 (22), 8933-8950, 2005
812005
Sparse sensor placement optimization for classification
BW Brunton, SL Brunton, JL Proctor, JN Kutz
SIAM Journal on Applied Mathematics 76 (5), 2099-2122, 2016
782016
Applied Koopman theory for partial differential equations and data-driven modeling of spatio-temporal systems
J Nathan Kutz, JL Proctor, SL Brunton
Complexity 2018, 1-16, 2018
732018
Dynamic mode decomposition for compressive system identification
Z Bai, E Kaiser, JL Proctor, JN Kutz, SL Brunton
AIAA Journal 58 (2), 561-574, 2020
722020
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