5 papers
Multivariate linear regression without prior assumptions
Mayank S. K. Gupta, Deepanjhan Das, Arun K. Tangirala +1
Recovering the linear relationships that govern a system from noisy measurements is a basic task across the physical and engineering sciences. Because every measured variable may c…
Subspace Based Identification of Errors-in-Variables Linear Descriptor Systems
Deepanjhan Das, Shankar Narasimhan
The identification of linear descriptor systems (DAEs) from noise-corrupted data makes two critical assumptions: requirement of an \textit{a priori} classification of variables int…
A recursive subspace based method for errors-in-variables model identification of time-varying systems
Deepanjhan Das, Shankar Narasimhan
The Subspace-based Model Identification algorithm using a modified Iterative Principal Component Analysis (SMI-IPCA) is a theoretically rigorous method for identifying a linear sta…
DISPCA : A hybrid iterative-sequential approach for the identification of errors-in-variables model of linear DAE systems
Deepanjhan Das, Vishwesh Ramanathan, Shankar Narasimhan
The dynamic behavior of numerous engineering processes is effectively characterized through differential-algebraic equations (DAEs), commonly referred to as descriptor systems. Whi…
Recursive Identification of EIV-ARX Models for Time Varying SISO Processes
Deepanjhan Das, Shankar Narasimhan
This paper proposes a recursive algorithm, rARX-DIPCA, for identifying errors-in-variables autoregressive models with exogenous input (EIV-ARX), for tracking time-varying SISO proc…