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Subhrajit Sinha
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2020 – today
- 2024
- [c19]Subhrajit Sinha, Sai Pushpak Nandanoori, Bowen Huang, Thiagarajan Ramachandran, Craig Bakker:
On Formalisation of Martin Distance for Linear Dynamical Systems. ACC 2024: 1243-1248 - [i15]Kaustav Chatterjee, Ramij Raja Hossain, Sai Pushpak Nandanoori, Soumya Kundu, Subhrajit Sinha, Diane Baldwin, Ronald Melton:
Grid-Forming Storage Networks: Analytical Characterization of Damping and Design Insights. CoRR abs/2409.03244 (2024) - [i14]Sai Pushpak Nandanoori, Alok Kumar Bharati, Subhrajit Sinha, Soumya Kundu, Veronica Adetola, Kevin P. Schneider:
Empowering the Grid: Decentralized Autonomous Control for Effective Utilization and Resilience. CoRR abs/2410.17143 (2024) - 2022
- [j3]Sai Pushpak Nandanoori
, Subhrajit Sinha, Enoch Yeung:
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. J. Nonlinear Sci. 32(6): 95 (2022) - [c18]Subhrajit Sinha, Sai Pushpak Nandanoori, Thiagarajan Ramachandran, Craig Bakker, Ankit Singhal:
Data-driven Resilience Characterization of Control Dynamical Systems. ACC 2022: 2186-2193 - [c17]Thiagarajan Ramachandran
Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator. CDC 2022: 2230-2235 - [c16]Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. ECC 2022: 552-559 - [c15]Subhrajit Sinha:
Data-driven Influence Based Clustering of Dynamical Systems. ECC 2022: 1043-1048 - [c14]Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45 - [i13]Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie:
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. CoRR abs/2203.14114 (2022) - [i12]Subhrajit Sinha:
Data-driven Influence Based Clustering of Dynamical Systems. CoRR abs/2204.02373 (2022) - [i11]Subhrajit Sinha, Sai Pushpak Nandanoori, David Barajas-Solano:
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data. CoRR abs/2212.05259 (2022) - 2021
- [c13]Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury:
Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC 2021: 5059-5066 - [i10]Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung:
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis. CoRR abs/2106.15678 (2021) - [i9]Subhrajit Sinha, Meghna Chakraborty:
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic. CoRR abs/2111.12272 (2021) - [i8]Meghna Chakraborty, Timothy Gates, Subhrajit Sinha:
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms. CoRR abs/2112.03407 (2021) - 2020
- [j2]Subhrajit Sinha
On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems. J. Nonlinear Sci. 30(4): 1651-1676 (2020) - [j1]Subhrajit Sinha
On Robust Computation of Koopman Operator and Prediction in Random Dynamical Systems. J. Nonlinear Sci. 30(5): 2057-2090 (2020) - [c12]Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung:
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. ACC 2020: 4551-4557 - [c11]Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. SmartGridComm 2020: 1-6 - [i7]Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Data Driven Online Learning of Power System Dynamics. CoRR abs/2003.05068 (2020) - [i6]Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. CoRR abs/2007.00835 (2020)
2010 – 2019
- 2019
- [c10]Subhrajit Sinha, Umesh Vaidya
On Computation of Koopman Operator from Sparse Data. ACC 2019: 5519-5524 - [c9]Aqib Hasnain, Diveena Becker, Atsede Siba, Narendra Maheshri, Ben Gordon, Chris Voigt, Enoch Yeung, Subhrajit Sinha, Yuval Dorfan, Amin Espah Borujeni, Yongjin Park, Paul Maschhoff
A data-driven method for quantifying the impact of a genetic circuit on its host. BioCAS 2019: 1-4 - [i5]Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Online Learning of Dynamical Systems: An Operator Theoretic Approach. CoRR abs/1909.12520 (2019) - [i4]Subhrajit Sinha, Umesh Vaidya, Enoch Yeung:
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics. CoRR abs/1909.13369 (2019) - [i3]Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung:
Data-Driven Operator Theoretic Methods for Global Phase Space Learning. CoRR abs/1910.03011 (2019) - [i2]Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu, Umesh Vaidya:
Information Based Data-Driven Characterization of Stability and Influence in Power Systems. CoRR abs/1910.11379 (2019) - 2018
- [c8]Subhrajit Sinha, Umesh Vaidya
Data-Driven Approach for Inferencing Causality and Network Topology. ACC 2018: 436-441 - [c7]Subhrajit Sinha, Bowen Huang, Umesh Vaidya
Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems. ACC 2018: 5491-5496 - [i1]Subhrajit Sinha, Pranav Sharma, Umesh Vaidya, Venkataramana Ajjarapu:
On Information Transfer Based Characterization of Power System Stability. CoRR abs/1809.07704 (2018) - 2017
- [c6]Subhrajit Sinha, Pranav Sharma, Umesh Vaidya
Identifying causal interaction in power system: Information-based approach. CDC 2017: 2041-2046 - 2016
- [c5]Umesh Vaidya
Information-based measure for influence characterization in dynamical systems with applications. ACC 2016: 7147-7152 - [c4]Subhrajit Sinha, Umesh Vaidya
Causality preserving information transfer measure for control dynamical system. CDC 2016: 7329-7334 - 2015
- [c3]Subhrajit Sinha, Umesh Vaidya
Formalism for information transfer in dynamical network. CDC 2015: 5731-5736 - 2013
- [c2]Subhrajit Sinha, Umesh Vaidya, Rajeev Rajaram:
Optimal placement of actuators and sensors for control of nonequilibrium dynamics. ECC 2013: 1083-1088
2000 – 2009
- 2008
- [c1]Debasattam Pal, Subhrajit Sinha, Madhu N. Belur, Harish K. Pillai:
New results in optimal quadratic supply rates. CDC 2008: 4775-4780
Coauthor Index
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