Principles of System Identification

Released on by Arun K. Tangirala
preview-18

  • Principles of System Identification Book Detail

  • Author : Arun K. Tangirala
  • Release Date : 2018-10-08
  • Publisher : CRC Press
  • Genre : Technology & Engineering
  • Pages : 908
  • ISBN 13 : 143989602X
  • File Size : 14,14 MB
DOWNLOAD BOOK

Principles of System Identification by Arun K. Tangirala PDF Summary

Book Description: Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification is an interface that is based on observational science, and centers on developing mathematical models from observed data. Principles of System Identification: Theory and Practice is an introductory-level book that presents the basic foundations and underlying methods relevant to system identification. The overall scope of the book focuses on system identification with an emphasis on practice, and concentrates most specifically on discrete-time linear system identification. Useful for Both Theory and Practice The book presents the foundational pillars of identification, namely, the theory of discrete-time LTI systems, the basics of signal processing, the theory of random processes, and estimation theory. It explains the core theoretical concepts of building (linear) dynamic models from experimental data, as well as the experimental and practical aspects of identification. The author offers glimpses of modern developments in this area, and provides numerical and simulation-based examples, case studies, end-of-chapter problems, and other ample references to code for illustration and training. Comprising 26 chapters, and ideal for coursework and self-study, this extensive text: Provides the essential concepts of identification Lays down the foundations of mathematical descriptions of systems, random processes, and estimation in the context of identification Discusses the theory pertaining to non-parametric and parametric models for deterministic-plus-stochastic LTI systems in detail Demonstrates the concepts and methods of identification on different case-studies Presents a gradual development of state-space identification and grey-box modeling Offers an overview of advanced topics of identification namely the linear time-varying (LTV), non-linear, and closed-loop identification Discusses a multivariable approach to identification using the iterative principal component analysis Embeds MATLAB® codes for illustrated examples in the text at the respective points Principles of System Identification: Theory and Practice presents a formal base in LTI deterministic and stochastic systems modeling and estimation theory; it is a one-stop reference for introductory to moderately advanced courses on system identification, as well as introductory courses on stochastic signal processing or time-series analysis.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

Disclaimer: www.yourbookbest.com does not own Principles of System Identification books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Principles of System Identification

Principles of System Identification

File Size : 71,71 MB
Total View : 6472 Views
DOWNLOAD

Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-driven or measurement-based process operations, system identification

System Identification

System Identification

File Size : 34,34 MB
Total View : 6801 Views
DOWNLOAD

The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: T

Nonlinear System Identification

Nonlinear System Identification

File Size : 54,54 MB
Total View : 9229 Views
DOWNLOAD

Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic syst

Nonlinear System Identification

Nonlinear System Identification

File Size : 98,98 MB
Total View : 9581 Views
DOWNLOAD

This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identificati

System Identification

System Identification

File Size : 78,78 MB
Total View : 4729 Views
DOWNLOAD

Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a genera