Posted by **step778** at May 15, 2018

2007 | pages: 422 | ISBN: 0521875129 | PDF | 2,0 mb

Posted by **AvaxGenius** at April 26, 2018

This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process.

Posted by **insetes** at Jan. 2, 2018

2014 | 313 Pages | ISBN: 3319063634 | PDF | 6 MB

Posted by **AvaxGenius** at Sept. 23, 2017

English | PDF | 2007 | 238 Pages | ISBN : 0387263284 | 4.22 MB

Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification.

Posted by **roxul** at June 14, 2017

English | ISBN: 1119943590 | 2013 | 574 pages | PDF | 49 MB

Posted by **Jeembo** at March 7, 2017

English | 2007 | ISBN: 3540727027 | 258 Pages | PDF | 4.4 MB

In this book, not only are mathematical abstractions discussed in a lucid manner, but also several practical applications are given particularly for system identification, description and then efficient controls.

Posted by **tanas.olesya** at Dec. 1, 2016

English | 12 Sept. 2007 | ISBN: 0387263284 | 238 Pages | PDF | 2 MB

Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes.

Posted by **AlenMiler** at Oct. 29, 2016

English | 23 Oct. 2016 | ISBN: 1539691896 | 267 Pages | PDF | 2.79 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects.

Posted by **AlenMiler** at Oct. 29, 2016

English | 23 Oct. 2016 | ISBN: 1539692310 | 207 Pages | PDF | 1.84 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way.

Posted by **AlenMiler** at Oct. 27, 2016

English | 26 Oct 2016 | ASIN: B01M9GAUTN | 174 Pages | PDF | 3.42 MB

System Identification Toolbox constructs mathematical models of dynamic systems from measured input-output data.