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About Lecture Notes 2013
This document contains lecture notes for a course on system identification. It covers topics such as the basics of system identification including the identification procedure and notation. It also discusses least squares estimation techniques, different types of dynamic systems and models, nonparametric identification methods, the stochastic setup, prediction error methods, and model selection and validation. The notes are divided into several chapters that progress from basic concepts to more advanced statistical methods for identifying models of dynamic systems from observed input/output data.
Detailed Information
| Author: | ['alper senem'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 231 |
| Language: | English |
| Format: | |
| Price: | FREE |
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