System Parameter Identification: Information Criteria And Algorithms by Badong ChenSystem Parameter Identification: Information Criteria And Algorithms by Badong Chen

System Parameter Identification: Information Criteria And Algorithms

byBadong Chen, Yu Zhu, Jinchun Hu

Paperback | October 30, 2017

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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 byComputing 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
Badong Chen received the B.S. and M.S. degrees in control theory and engineering from Chongqing University, in 1997 and 2003, respectively, and the Ph.D. degree in computer science and technology from Tsinghua University in 2008. He was a Post-Doctoral Researcher with Tsinghua University from 2008 to 2010, and a Post-Doctoral Associate...
Title:System Parameter Identification: Information Criteria And AlgorithmsFormat:PaperbackDimensions:266 pages, 8.75 × 6.35 × 0.68 inPublished:October 30, 2017Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128103167

ISBN - 13:9780128103166

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Table of Contents

1.Introduction
2.Information Measures
3.Information Theoretic Estimation
4.System Identification Under Minimum Error Entropy Criteria
5.System Identification Under Information Divergence Criteria
6.System Identification Based on Mutual Information Criteria