Shankar Narasimhan

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 state-space model of a multi-input multi-output (MIMO) process, in an errors-in-variables (EIV) setting…Read more