Search Results for author: Rajasekhar Anguluri

Found 7 papers, 1 papers with code

Differential Analysis for Networks Obeying Conservation Laws

no code implementations30 Jan 2023 Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, Gautam Dasarathy

Given the dynamic nature of the systems under consideration, an equally important task is estimating the change in the structure of the network from data -- the so called differential network analysis problem.

Robust Model Selection of Non Tree-Structured Gaussian Graphical Models

no code implementations10 Nov 2022 Abrar Zahin, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar, Gautam Dasarathy

A recent line of work establishes that even for tree-structured graphical models, only partial structure recovery is possible and goes on to devise algorithms to identify the structure up to an (unavoidable) equivalence class of trees.

Model Selection

Parameter Estimation in Ill-conditioned Low-inertia Power Systems

no code implementations9 Aug 2022 Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut

This ill-conditioning is because of converter-interfaced power systems generators' zero or small inertia contribution.

Connectivity Estimation

Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version)

no code implementations21 Jun 2022 Nafiseh Ghoroghchian, Rajasekhar Anguluri, Gautam Dasarathy, Stark C. Draper

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 summaries.

Community Detection Stochastic Block Model

Learning the Structure of Large Networked Systems Obeying Conservation Laws

1 code implementation14 Jun 2022 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.

Quantifying the Controllability of Coarsely Characterized Networked Dynamical Systems

no code implementations29 Sep 2021 Nafiseh Ghoroghchian, Rajasekhar Anguluri, Gautam Dasarathy, Stark Draper

In contrast, in this paper the controllability aspects of the coarse system are derived from coarse summaries {\em without} knowledge of the fine-scale structure.

Community Detection Stochastic Block Model

On the Robustness of Data-Driven Controllers for Linear Systems

no code implementations L4DC 2020 Rajasekhar Anguluri, Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti

This paper proposes a new framework and several results to quantify the performance of data-driven state-feedback controllers for linear systems against targeted perturbations of the training data.

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