System Parameter Identification

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  • Author : Badong Chen
  • Publisher : Newnes
  • Pages : 266 pages
  • ISBN : 0124045952
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>System Parameter Identification

Download or Read online System Parameter Identification full in PDF, ePub and kindle. this book written by Badong Chen and published by Newnes which was released on 17 July 2013 with total page 266 pages. We cannot guarantee that System Parameter Identification book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification. The authors’ research provides a base for the book, but it incorporates the results from the latest international research publications. Named a 2013 Notable Computer Book for Information Systems by Computing Reviews One of the first books to present system parameter identification with information theoretic criteria so readers can track the latest developments Contains numerous illustrative examples to help the reader grasp basic methods

System Parameter Identification

System Parameter Identification
  • Author : Badong Chen,Yu Zhu,Jinchun Hu,Jose C. Principe
  • Publisher : Newnes
  • Release : 17 July 2013
GET THIS BOOK System Parameter Identification

Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification. The authors’ research provides a base

Nonlinear System Identification Nonlinear system parameter identification

Nonlinear System Identification  Nonlinear system parameter identification
  • Author : Robert Haber,László Keviczky
  • Publisher : Springer Science & Business Media
  • Release : 14 June 1999
GET THIS BOOK Nonlinear System Identification Nonlinear system parameter identification

The first of two volumes, this handbook presents a comprehensive overview of nonlinear dynamic system parameter identification. The volumes cover many aspects of nonlinear processes including modelling, parameter estimation, structure search, nonlinearity and model validity tests.

Nonlinear System Identification Input Output Modeling Approach

Nonlinear System Identification     Input Output Modeling Approach
  • Author : Robert Haber,L. Keviczky
  • Publisher : Springer
  • Release : 22 December 2012
GET THIS BOOK Nonlinear System Identification Input Output Modeling Approach

The subject of the book is to present the modeling, parameter estimation and other aspects of the identification of nonlinear dynamic systems. The treatment is restricted to the input-output modeling approach. Because of the widespread usage of digital computers discrete time methods are preferred. Time domain parameter estimation methods are dealt with in detail, frequency domain and power spectrum procedures are described shortly. The theory is presented from the engineering point of view, and a large number of examples of

Modeling and Identification of Linear Parameter Varying Systems

Modeling and Identification of Linear Parameter Varying Systems
  • Author : Roland Toth
  • Publisher : Springer Science & Business Media
  • Release : 13 June 2010
GET THIS 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 by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control