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 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

Produk Detail:

  • Author : Badong Chen
  • Publisher : Newnes
  • Pages : 266 pages
  • ISBN : 0124045952
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSystem Parameter Identification

System Parameter Identification

System Parameter Identification
  • Author : Badong Chen,Yu Zhu,Jinchun Hu,Jose C. Principe
  • Publisher : Newnes
  • Release : 17 July 2013
GET THIS BOOKSystem 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 — Input-Output Modeling Approach

Nonlinear System Identification — Input-Output Modeling Approach
  • Author : Robert Haber,L. Keviczky
  • Publisher : Springer
  • Release : 31 July 1999
GET THIS BOOKNonlinear 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

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 : 24 January 1999
GET THIS BOOKNonlinear 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.

Identification and System Parameter Estimation 1982

Identification and System Parameter Estimation 1982
  • Author : G. A. Bekey,G. N. Saridis
  • Publisher : Elsevier
  • Release : 06 June 2016
GET THIS BOOKIdentification and System Parameter Estimation 1982

Identification and System Parameter Estimation 1982 covers the proceedings of the Sixth International Federation of Automatic Control (IFAC) Symposium. The book also serves as a tribute to Dr. Naum S. Rajbman. The text covers issues concerning identification and estimation, such as increasing interrelationships between identification/estimation and other aspects of system theory, including control theory, signal processing, experimental design, numerical mathematics, pattern recognition, and information theory. The book also provides coverage regarding the application and problems faced by several engineering and

Modelling and Parameter Estimation of Dynamic Systems

Modelling and Parameter Estimation of Dynamic Systems
  • Author : J.R. Raol,G. Girija,J. Singh
  • Publisher : IET
  • Release : 01 January 2004
GET THIS BOOKModelling and Parameter Estimation of Dynamic Systems

This book presents a detailed examination of the estimation techniques and problems in dynamic systems. Containing several illustrations and computer programs, the book promotes a better understanding of system modelling and parameter estimation. Parameter estimation involves observation of a dynamic system to develop mathematical models that represent the system dynamics. With the increasing use of high speed digital computers, elegant and innovative techniques like filter error method, H° and artificial neural networks are finding more and more use in parameter

Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration

Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration
  • Author : Juan Carlos A. Jauregui Correa
  • Publisher : Elsevier
  • Release : 11 December 2014
GET THIS BOOKParameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration

Development of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and monitoring machinery in industry. Parameter Identification and Monitoring of Mechanical Systems under Nonlinear Vibration focusses on methods for the identification of nonlinearities in mechanical systems, giving description and examples of practical application. Chapters cover nonlinear dynamics; nonlinear vibrations; signal processing; parameter identification; application of signal processing to mechanical systems; practical experience and industrial applications; and synchronization of