95 citations · 291 across the 29 of their papers we have counts for
5 papers · 1 filter
Robust Model Selection of Gaussian Graphical Models
Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar +2
In Gaussian graphical model selection, noise-corrupted samples present significant challenges. It is known that even minimal amounts of noise can obscure the underlying structure,…
Transmission Line Parameter Estimation Under Non-Gaussian Measurement Noise
Antos Cheeramban Varghese, Anamitra Pal, Gautam Dasarathy
Accurate knowledge of transmission line parameters is essential for a variety of power system monitoring, protection, and control applications. The use of phasor measurement unit (…
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)
Nafiseh Ghoroghchian, Rajasekhar Anguluri, Gautam Dasarathy +1
We consider the controllability of large-scale linear networked dynamical systems when complete knowledge of network structure is unavailable and knowledge is limited to coarse sum…
Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy
Many networked systems such as electric networks, the brain, and social networks of opinion dynamics are known to obey conservation laws. Examples of this phenomenon include the Ki…
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data
Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar +1
Power systems are prone to a variety of events (e.g. line trips and generation loss) and real-time identification of such events is crucial in terms of situational awareness, relia…