3 citations · 4 across the 7 of their papers we have counts for
9 papers
Nonlinear Moving Horizon Estimation and Model Predictive Control for Buildings with Unknown HVAC Dynamics
Saman Mostafavi, Harish Doddi, Krishna Kalyanam +1
We present a solution for modeling and online identification for heating, ventilation, and air conditioning (HVAC) control in buildings. Our approach comprises: (a) a resistance-ca…
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Harish Doddi, Deepjyoti Deka, Saurav Talukdar +1
We consider a networked linear dynamical system with agents/nodes. We study the problem of learning the underlying graph of interactions/dependencies from observations of the n…
Energetics of Feedback: Application to Memory Erasure
Harish Doddi, Saurav Talukdar, Murti Salapaka
Landauer's erasure principle states that any irreversible erasure protocol of a single bit memory needs work of at least Recent proof of concept experiments has demons…
Topology Learning of unknown Networked Linear Dynamical System excited by Cyclostationary inputs
Harish Doddi, Deepjyoti Deka, Murti Salapaka
Topology learning of networked dynamical systems is an important problem with implications to optimal control, decision-making over networks, cybersecurity and safety. The majority…
Tractable learning in under-excited power grids
Deepjyoti Deka, Harish Doddi, Sidhant Misra +1
Estimating the structure of physical flow networks such as power grids is critical to secure delivery of energy. This paper discusses statistical structure estimation in power grid…
Topology Learning of Linear Dynamical Systems with Latent Nodes using Matrix Decomposition
Mishfad S. V., Harish Doddi, Murti V. Salapaka
In this article, we present a novel approach to reconstruct the topology of networked linear dynamical systems with latent nodes. The network is allowed to have directed loops and…
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…