Arun K. Tangirala

Principles of System Identification (eBook, ePUB)

Theory and Practice

• Format: ePub

Produktbeschreibung

This book explains the theoretical concepts of building (linear) dynamic models from experimental data, their practical implementations, and experimental aspects with data pre-treatment. Starting with a quick tour on identification, the first part provides foundations of discrete-time deterministic LTI systems. The second part describes modeling of stochastic stationary processes. The third part explains estimation theory and methods in detail with illustrative examples. The core material in parts four and five presents model descriptions, classical and modern identification methods, practical and experimental aspects with case studies. The MATLAB scripts and SIMULINK models used as examples and case studies in the book are also available on the author's website: http://arunkt.wix.com/homepage#!textbook/c397.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 8. Oktober 2018
• Englisch
• ISBN-13: 9781040081174
• Artikelnr.: 73207508

Autorenporträt

Arun K. Tangirala an Associate Professor at the Department of Chemical Engineering, IIT Madras, India. He obtained his B. Tech. (Chemical Engineering) from IIT Madras, India and Ph.D. (Process Control & Monitoring) from the University of Alberta, Canada in the years 1996 and 2001, respectively. Dr. Tangirala specializes in process control, modelling, monitoring and multivariate data analysis. His research group is focused on solving some of the cutting edge problems in data-driven analysis and modelling. A recipient of different teaching and research awards, he has conducted several workshops and short-term courses on data analysis and process identification.