System Identification

Abstract

Abstract The sections in this article are The Problem Background and Literature Outline Displaying the Basic Ideas: Arx Models and the Linear Least Squares Method Model Structures I: Linear Models Model Structures Ii: Nonlinear Black‐Box Models General Parameter Estimation Techniques Special Estimation Techniques for Linear Black‐Box Models Data Quality Model Validation and Model Selection Back to Data: The Practical Side of Identification