34 citations · 43 across the 5 of their papers we have counts for
7 papers
Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
Identification of autoregressive models with exogenous input (ARX) is a classical problem in system identification. This article considers the errors-in-variables (EIV) ARX model i…
Identification of MISO systems in Minimal Realization Form
Chaithanya K. Donda, Deepak Maurya, Arun K. Tangirala +1
The paper is concerned with identifying transfer functions of individual input channels in minimal realization form of a Multi-Input Single Output (MISO) from the input-output data…
ARX Model Identification using Generalized Spectral Decomposition
Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan
This article is concerned with the identification of autoregressive with exogenous inputs (ARX) models. Most of the existing approaches like prediction error minimization and state…
Learning Conserved Networks from Flows
Satya Jayadev P., Shankar Narasimhan, Nirav Bhatt
A challenging problem in complex networks is the network reconstruction problem from data. This work deals with a class of networks denoted as conserved networks, in which a flow a…
Optimal Power Distribution Control for a Network of Fuel Cell Stacks
Resmi Suresh M P, Ganesh Sankaran, Sreeram Joopudi +3
In power networks where multiple fuel cell stacks are employed to deliver the required power, optimal sharing of the power demand between different stacks is an important problem.…
Network Topology Identification using PCA and its Graph Theoretic Interpretations
Aravind Rajeswaran, Shankar Narasimhan
We solve the problem of identifying (reconstructing) network topology from steady state network measurements. Concretely, given only a data matrix where the e…
Deconstructing Principal Component Analysis Using a Data Reconciliation Perspective
Shankar Narasimhan, Nirav Bhatt
Data reconciliation (DR) and Principal Component Analysis (PCA) are two popular data analysis techniques in process industries. Data reconciliation is used to obtain accurate and c…