Linear Systems Identification : Basic Concepts

Mostafa Mjahed

ISBN 10: 620765384X / ISBN 13: 9786207653843

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Identification, presented in this document, is a tool for modeling systems when our knowledge is limited to the evolution of an output parameter as a function of an input parameter. We introduce two groups of methods: analog methods and numerical methods. After an introductory chapter, the second chapter is dedicated to the identification of continuous systems. Our knowledge of the characteristics of first and second-order systems, as well as the concept of dominant pole, will be utilized to develop identification models for systems governed by the evolution of an output as a function of an input. Other methods (Strèjc, Broida, etc.) will also be developed and applied.In the third chapter, as a numerical approach to identification, the least squares method proves to be very promising. The principle of this method, its formalism, and applications will be presented.At the end of this document (Chapter four), an implementation of the various methods will be provided to deepen the introduced concepts.

Seller Inventory # 9786207653843

Bibliographic Details

• Title: Linear Systems Identification : Basic Concepts
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 620765384X
• ISBN 13: 9786207653843
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams

About this title

Synopsis

Identification, presented in this document, is a tool for modeling systems when our knowledge is limited to the evolution of an output parameter as a function of an input parameter. We introduce two groups of methods: analog methods and numerical methods. After an introductory chapter, the second chapter is dedicated to the identification of continuous systems. Our knowledge of the characteristics of first and second-order systems, as well as the concept of dominant pole, will be utilized to develop identification models for systems governed by the evolution of an output as a function of an input. Other methods (Strèjc, Broida, etc.) will also be developed and applied.In the third chapter, as a numerical approach to identification, the least squares method proves to be very promising. The principle of this method, its formalism, and applications will be presented.At the end of this document (Chapter four), an implementation of the various methods will be provided to deepen the introduced concepts.