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False Errors-in-Variables Model Analysis by International Journal of Application or Innovation in Engineering \u0026 Management is a document available to read on EtoBox.

This document summarizes research on parameter estimation for linear dynamic systems when both the inputs and outputs are corrupted by noise, known as errors-in-variables (EIV) models. It focuses on the "false EIV problem" where noise affects only the input or output measurements. The paper studies three identification methods - equation error, output error, and iterative prefiltering - on an autoregressive model with exogenous inputs where only the output is noisy. It presents results showing the estimated

Author

International Journal of Application or Innovation in Engineering \u0026 Management

Language

EN