3 citations · 6 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
An Information-State Based Approach to Linear Time Varying System Identification and Control
Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty +1
This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the stat…
On the Feedback Law in Stochastic Optimal Nonlinear Control
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal +1
We consider the problem of nonlinear stochastic optimal control. This problem is thought to be fundamentally intractable owing to Bellman's "curse of dimensionality". We present a…
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty in this paper. This problem may be posed as a stochastic optimal control problem, a solution to which is fundamentally…