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Subhrajit Sinha
Subhrajit Sinha
Pacific Northwest National Laboratory
Подтвержден адрес электронной почты в домене pnnl.gov
Название
Процитировано
Процитировано
Год
On robust computation of koopman operator and prediction in random dynamical systems
S Sinha, B Huang, U Vaidya
Journal of Nonlinear Science 30 (5), 2057-2090, 2020
552020
Robust approximation of koopman operator and prediction in random dynamical systems
S Sinha, B Huang, U Vaidya
2018 Annual American Control Conference (ACC), 5491-5496, 2018
392018
On computation of koopman operator from sparse data
S Sinha, U Vaidya, E Yeung
2019 American Control Conference (ACC), 5519-5524, 2019
372019
Operator theoretic framework for optimal placement of sensors and actuators for control of nonequilibrium dynamics
S Sinha, U Vaidya, R Rajaram
Journal of Mathematical Analysis and Applications 440 (2), 750-772, 2016
372016
Koopman operator methods for global phase space exploration of equivariant dynamical systems
S Sinha, SP Nandanoori, E Yeung
IFAC-PapersOnLine 53 (2), 1150-1155, 2020
292020
Causality preserving information transfer measure for control dynamical system
S Sinha, U Vaidya
2016 IEEE 55th Conference on Decision and Control (CDC), 7329-7334, 2016
272016
On Information Transfer in Discrete Dynamical Systems
S Sinha, U Vaidya
Indian Control Conference, 2017
262017
Data-driven operator theoretic methods for global phase space learning
SP Nandanoori, S Sinha, E Yeung
2020 American Control Conference (ACC), 4551-4557, 2020
242020
Optimal Placement of Actuators and Sensors for Control of Nonequilibrium Dynamics ,
S Sinha, R Rajaram, U Vaidya
ECC 2013, 2013
242013
A data-driven method for quantifying the impact of a genetic circuit on its host
A Hasnain, S Sinha, Y Dorfan, AE Borujeni, Y Park, P Maschhoff, ...
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
222019
On data-driven computation of information transfer for causal inference in discrete-time dynamical systems
S Sinha, U Vaidya
Journal of Nonlinear Science 30 (4), 1651-1676, 2020
212020
Data driven online learning of power system dynamics
S Sinha, SP Nandanoori, E Yeung
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
202020
On information transfer-based characterization of power system stability
S Sinha, P Sharma, U Vaidya, V Ajjarapu
IEEE Transactions on Power Systems 34 (5), 3804-3812, 2019
192019
Analysis and prediction of human mobility in the United States during the early stages of the COVID-19 pandemic using regularized linear models
M Chakraborty, M Shakir Mahmud, TJ Gates, S Sinha
Transportation research record 2677 (4), 380-395, 2023
182023
Formalism for information transfer in dynamical network
S Sinha, U Vaidya
2015 54th IEEE Conference on Decision and Control (CDC), 5731-5736, 2015
182015
Causal analysis and classification of traffic crash injury severity using machine learning algorithms
M Chakraborty, TJ Gates, S Sinha
Data science for transportation 5 (2), 12, 2023
162023
Identifying causal interaction in power system: Information-based approach
S Sinha, P Sharma, U Vaidya, V Ajjarapu
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2041 - 2046, 2017
152017
Data-driven approach for inferencing causality and network topology
S Sinha, U Vaidya
2018 Annual American Control Conference (ACC), 436-441, 2018
132018
Information-based measure for influence characterization in dynamical systems with applications
U Vaidya, S Sinha
2016 American Control Conference (ACC), 7147-7152, 2016
122016
Data-driven stabilization of discrete-time control-affine nonlinear systems: A Koopman operator approach
S Sinha, SP Nandanoori, J Drgona, D Vrabie
2022 European Control Conference (ECC), 552-559, 2022
102022
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