Model identification and data analysis /

This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook of...

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Bibliographic Details
Main Author: Bittanti, Sergio (Author)
Format: Electronic eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, Inc., 2019.
Subjects:
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Description
Summary:This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University. The book: -Contains accessible methods explained step-by-step in simple terms -Offers an essential tool useful in a variety of fields, especially engineering, statistics, and mathematics -Includes an overview on random variables and stationary processes, as well as an introduction to discrete time models and matrix analysis -Incorporates historical commentaries to put into perspective the developments that have brought the discipline to its current state -Provides many examples and solved problems to complement the presentation and facilitate comprehension of the techniques presented.
Physical Description:1 online resource (xvi, 399 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781119546313
1119546311
9781119546412
1119546419
9781119546405
1119546400
Source of Description, Etc. Note:Online resource; title from digital title page (viewed on April 08, 2019).