Sayak Mukherjee
Orcid: 0000-0001-8184-4755
According to our database1,
Sayak Mukherjee
authored at least 39 papers
between 2015 and 2024.
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Bibliography
2024
Development of a biofidelic computational model of human pelvis for predicting biomechanical responses and pelvic fractures.
Comput. Biol. Medicine, March, 2024
\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing.
CoRR, 2024
2023
Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix.
IEEE Trans. Autom. Control., March, 2023
McSNAC: A software to approximate first-order signaling networks from mass cytometry data.
Quant. Biol., 2023
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls.
IEEE Control. Syst. Lett., 2023
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations.
CoRR, 2023
Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control.
Proceedings of the American Control Conference, 2023
2022
CoRR, 2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning.
CoRR, 2022
Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids.
CoRR, 2022
CoRR, 2022
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems.
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
IEEE Trans. Smart Grid, 2021
Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs.
Syst. Control. Lett., 2021
IEEE Control. Syst. Lett., 2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.
CoRR, 2021
Development and multi-level validation of a computational model to predict traumatic aortic injury.
Comput. Biol. Medicine, 2021
Reduced-dimensional reinforcement learning control using singular perturbation approximations.
Autom., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2020
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator.
CoRR, 2020
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix.
CoRR, 2020
Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems.
Proceedings of the 2020 American Control Conference, 2020
2019
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency.
CoRR, 2019
Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks.
Proceedings of the 2019 American Control Conference, 2019
2018
On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
2016
Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data.
CoRR, 2016
2015
Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data.
Entropy, 2015