15 citations · 50 across the 18 of their papers we have counts for
8 papers · 1 filter
Topology Learning in Radial Dynamical Systems with Unreliable Data
Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar +2
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data ar…
Graphical Models in Meshed Distribution Grids: Topology estimation, change detection and limitations
Deepjyoti Deka, Saurav Talukdar, Michael Chertkov +1
Graphical models are a succinct way to represent the structure in probability distributions. This article analyzes the graphical model of nodal voltages in non-radial power distrib…
Exact Topology Learning in a Network of Cyclostationary Processes
Harish Doddi, Saurav Talukdar, Deepjyoti Deka +1
Learning the structure of a network from time series data, in particular cyclostationary data, is of significant interest in many disciplines such as power grids, biology and finan…
Data-driven identification of a thermal network in multi-zone building
Harish Doddi, Saurav Talukdar, Deepjyoti Deka +1
System identification of smart buildings is necessary for their optimal control and application in demand response. The thermal response of a building around an operating point can…
Physics Informed Topology Learning in Networks of Linear Dynamical Systems
Saurav Talukdar, Deepjyoti Deka, Harish Doddi +3
Learning influence pathways of a network of dynamically related processes from observations is of considerable importance in many disciplines. In this article, influence networks o…
Topology Learning of Radial Dynamical Systems with Latent Nodes
Saurav Talukdar, Deepjyoti Deka, Michael Chertkov +1
In this article, we present a method to reconstruct the topology of a partially observed radial network of linear dynamical systems with bi-directional interactions. Our approach e…
Learning the Exact Topology of Undirected Consensus Networks
Saurav Talukdar, Deepjyoti Deka, Sandeep Attree +2
In this article, we present a method to learn the interaction topology of a network of agents undergoing linear consensus updates in a non invasive manner. Our approach is based on…
Distributed Apportioning in a Power Network for providing Demand Response Services
Sourav Patel, Sandeep Attree, Saurav Talukdar +2
Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs,…