Debdipta Goswami

The Ohio State University — United States

Physics and Astronomy · Physical Sciences

9h-index330citations40works0.62yr avg
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Research Topics

Model Reduction and Neural Networks(12), Neural Networks and Applications(8), Neural Networks and Reservoir Computing(7), Distributed Control Multi-Agent Systems(6), Advanced Memory and Neural Computing(5)

Publications40 total

Real-Time Linear MPC for Quadrotors on SE(3): An Analytical Koopman-Based Realization
IEEE Robotics and Automation Letters·2025· 2 cited
Data to Certificate: Guaranteed Cost Control with Quantization-Aware System Identification
arXiv (Cornell University)·2025Open Access
Feature-Based Echo-State Networks: A Step Towards Minimalism and Interpretability in Reservoir Computer
2025
Temporally-Consistent Bilinearly Recurrent Autoencoders for Control Systems
2025
On the Effect of Quantization on Extended Dynamic Mode Decomposition
2025
Temporally consistent Koopman autoencoders for forecasting dynamical systems
Scientific Reports·2025· 3 citedOpen Access
Koopman Meets Limited Bandwidth: Effect of Quantization on Data-Driven Linear Prediction and Control of Nonlinear Systems
arXiv (Cornell University)·2025Open Access
QSID-MPC: Model Predictive Control With System Identification From Quantized Data
IEEE Control Systems Letters·2025· 1 cited
On the Effect of Quantization on Dynamic Mode Decomposition
2024· 2 cited
Real-Time Linear MPC for Quadrotors on SE(3): An Analytical Koopman-based Realization
arXiv (Cornell University)·2024Open Access
On the Effect of Quantization on Extended Dynamic Mode Decomposition
arXiv (Cornell University)·2024Open Access
On the Effect of Quantization on Dynamic Mode Decomposition
arXiv (Cornell University)·2024Open Access
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer
arXiv (Cornell University)·2024Open Access
Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems
arXiv (Cornell University)·2024· 1 citedOpen Access
Sequential Learning from Noisy Data: Data-Assimilation Meets the Echo-State Network
2023· 1 cited
Sequential Learning from Noisy Data: Data-Assimilation Meets Echo-State Network
arXiv (Cornell University)·2023Open Access
Delay Embedded Echo-State Network: A Predictor for Partially Observed Systems
IFAC-PapersOnLine·2023· 2 citedOpen Access
Delay Embedded Echo-State Network: A Predictor for Partially Observed Systems
arXiv (Cornell University)·2022Open Access
Data-Driven Prediction of Urban Micromobility: A Study of Dockless Electric Scooters [Applications of Control]
IEEE Control Systems·2022· 7 cited
Optimal Control with Learning on the Fly: System with Unknown Drift
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Derek A. Paley(11), Swagatam Das(5), Dilip Kumar Maity(5), Sarthak Chatterjee(4), Sudipto Mukherjee(4), Indranil Nayak(3), Artur Wolek(2), Sheng Cheng(2), Chiranjib Saha(2), Justin M. Lidard(2), David Snyder(2), Girguis Sedky(2), Anya R. Jones(2), A. Chakrabarti(2), Mrinal Kumar(2), Fernando L. Teixeira(2), Naira Hovakimyan(2), Sriram Narayanan(2), Kunal Pal(2), Shahab Ataei(2)