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Nibodh Boddupalli
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引用次数
引用次数
年份
Dealing with dust–some challenges and solutions for enabling solar energy in desert regions
N Boddupalli, G Singh, L Chandra, B Bandyopadhyay
Solar Energy 150, 166-176, 2017
26*2017
Optimal reporter placement in sparsely measured genetic networks using the koopman operator
A Hasnain, N Boddupalli, E Yeung
2019 IEEE 58th Conference on Decision and Control (CDC), 19-24, 2019
222019
Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition
A Hasnain, N Boddupalli, S Balakrishnan, E Yeung
2020 American Control Conference (ACC), 4245-4251, 2020
112020
Koopman operators for generalized persistence of excitation conditions for nonlinear systems
N Boddupalli, A Hasnain, SP Nandanoori, E Yeung
2019 IEEE 58th Conference on Decision and Control (CDC), 8106-8111, 2019
9*2019
Fluid flow analysis behind heliostat using LES and RANS: A step towards optimized field design in desert regions
N Boddupalli, V Goenka, L Chandra
AIP Conference Proceedings 1850 (1), 2017
92017
Prediction of fitness in bacteria with causal jump dynamic mode decomposition
S Balakrishnan, A Hasnain, N Boddupalli, DM Joshy, RG Egbert, E Yeung
2020 American Control Conference (ACC), 3749-3756, 2020
82020
Experimental set-up for investigation of air-flow and dust deposition in heliostat field: design and evaluation
N Boddupalli, NK Yadav, L Chandra
Solar World Congress, Daegu, Korea, 2015
72015
The unsteady flow features behind a heliostat in a narrow channel at a high Reynolds number: Experiment and Large Eddy Simulation
N Boddupalli, NK Yadav, L Chandra
International Journal of Mechanical Sciences 136, 424-438, 2018
52018
Symbolic regression via neural networks
N Boddupalli, T Matchen, J Moehlis
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (8), 2023
42023
Extending dynamic mode decomposition to data from multiple outputs
N Boddupalli
arXiv preprint arXiv:2108.01490, 2021
42021
Sparsification, sampling, and system identification in extended dynamic mode decomposition
N Boddupalli
University of California, Santa Barbara, 2020
12020
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems
A Iyer, N Boddupalli, J Moehlis
arXiv preprint arXiv:2406.06585, 2024
2024
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