58 citations · 76 across the 18 of their papers we have counts for
6 papers · 1 filter
Data-Driven Operator Theoretic Methods for Global Phase Space Learning
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
In this work, we propose to apply the recently developed Koopman operator techniques to explore the global phase space of a nonlinear system from time-series data. In particular, w…
Information Based Data-Driven Characterization of Stability and Influence in Power Systems
Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu +1
Stability analysis of a power network and its characterization (voltage or angle) is an important problem in the power system community. However, these problems are mostly studied…
Information Transfer in Dynamical Systems and Optimal Placement of Actuators and Sensors for Control of Non-equilibrium Dynamics
Subhrajit Sinha, Umesh Vaidya, Enoch Yeung
In this paper we develop the concept of information transfer between the Borel-measurable sets for a dynamical system described by a measurable space and a non-singular transformat…
Online Learning of Dynamical Systems: An Operator Theoretic Approach
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
In this paper, we provide an algorithm for online computation of Koopman operator in real-time using streaming data. In recent years, there has been an increased interest in data-d…
A data-driven method for quantifying the impact of a genetic circuit on its host
Aqib Hasnain, Subhrajit Sinha, Yuval Dorfan +12
Genetic circuits are designed to implement certain logic in living cells, keeping burden on the host cell minimal. However, manipulating the genome often will have a significant im…
On Computation of Koopman Operator from Sparse Data
Subhrajit Sinha, Enoch Yeung
In this paper we propose a novel approach to compute the Koopman operator from sparse time series data. In recent years there has been considerable interests in operator theoretic…