Identification of Linear Systems

This book PDF is perfect for those who love Science genre, written by J. Schoukens and published by Elsevier which was released on 28 June 2014 with total hardcover pages 353. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Identification of Linear Systems books below.

Identification of Linear Systems
Author : J. Schoukens
File Size : 42,7 Mb
Publisher : Elsevier
Language : English
Release Date : 28 June 2014
ISBN : 9780080912561
Pages : 353 pages
Get Book

Identification of Linear Systems by J. Schoukens Book PDF Summary

This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory so that they have a sufficient background knowledge for understanding the methods described later. The main body of the book looks at the basic method used by the authors to estimate the parameter of the transfer function, how it is possible to optimize the excitation signals. Further chapters extend the estimation method proposed. Applications are then discussed and the book concludes with practical guidelines which illustrate the method and offer some rules-of-thumb.

Identification of Linear Systems

This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory

Get Book
Subspace Identification for Linear Systems

Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems. These algorithms allow for a fast, straightforward and accurate determination of linear multivariable models from measured input-output data. The theory of subspace identification algorithms is presented in

Get Book
Modeling and Identification of Linear Parameter Varying Systems

Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to h- dle the controlof mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process ind- try. The birth of this system class was initiated

Get Book
Nonlinear System Identification

Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.

Get Book
Linear Stochastic Systems

This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in

Get Book
Identification of Linear Systems by an Asymptotically Stable Observer

Download or read online Identification of Linear Systems by an Asymptotically Stable Observer written by Anonim, published by Unknown which was released on 1992. Get Identification of Linear Systems by an Asymptotically Stable Observer Books now! Available in PDF, ePub and Kindle.

Get Book
System Identification

The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data,

Get Book
System Identification with Quantized Observations

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor

Get Book