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eess.SY2026

State Forecasting in an Estimation Framework with Surrogate Sensor Modeling

Sriram Narayanan, Mohamed Naveed Gul Mohamed, Ishan Paranjape +3

In recent years, computational power and data availability breakthroughs have revolutionized our ability to analyze complex physical systems through the inverse problem approach. D…

eess.SY2026

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta

Orbit prediction and space situational awareness require accurate thermospheric mass density, which responds nonlinearly to solar and geomagnetic forcing across several orders of m…

eess.SY2024

Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space

Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2

In recent years, the development of the Lunar Gateway and Artemis missions has renewed interest in lunar exploration, including both manned and unmanned missions. This interest nec…

eess.SY2024

On the Effect of Quantization on Dynamic Mode Decomposition

Dipankar Maity, Debdipta Goswami, Sriram Narayanan

Dynamic Mode Decomposition (DMD) is a widely used data-driven algorithm for estimating the Koopman Operator.This paper investigates how the estimation process is affected when the…

eess.SY2024

On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics

Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak +2

This paper discusses the predictive capability of Dynamic Mode Decomposition (DMD) in the context of orbital mechanics. The focus is specifically on the Hankel variant of DMD which…