Principles of system identification : theory and practice / by Arun K. Tangirala.

Format:

Book

Author/Creator:

Tangirala, Arun K., 1974- author.

Language:

English

Subjects (All):

System identification.

Physical Description:

1 online resource (881 p.)

Edition:

1st edition

Place of Publication:

Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2014.

Language Note:

English

System Details:

text file

Summary:

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.

Contents:

Introduction

A journey into identification

Mathematical descriptions of processes: models

Models for discrete-time LTI systems

Transform-domain models for linear Time-invariant systems

Sampling and discretization

Random processes

Time-domain analysis: correlation functions

Models for linear stationary processes

Fourier analysis and spectral analysis of deterministic signals

Spectral representations of random processes

Introduction to estimation

Goodness of estimators

Estimation methods: part I

Estimation methods: part II

Estimation of signal properties

Non-parametric and parametric models for identification

Predictions

Identification of parametric time-series models

Identification of non-parametric input-output models

Identification of parametric input-output models

Statistical and practical elements of model building

Identification of state-space models

Case studies

Advanced topics in SISO identification

Linear multivariable identification.

Notes:

"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."--Back cover.

Includes bibliographical references (pages 814-828) and index.

Description based on print version record.

ISBN:

9781040081174

1040081177

9781315222509

1315222507

9781439896020

143989602X

OCLC:

908635288