Lecture Notes in Control and Information Sciences

Block-oriented Nonlinear System Identification

Editors: Giri, Fouad, Bai, Er-Wei (Eds.)

  • An exhaustive treatment of an important area of nonlinear systems research
  • Large and international author pool ensures authoritative treatment
  • Presents results illustrated by applications in biomedical and physiological systems
see more benefits

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-84996-513-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $209.00
price for USA
  • ISBN 978-1-84996-512-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include:

• iterative and over-parameterization techniques;

• stochastic and frequency approaches;

• support-vector-machine, subspace, and separable-least-squares methods;

• blind identification method;

• bounded-error method; and

• decoupling inputs approach.

The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the important issues e.g., input design, persistent excitation, and consistency analysis, are discussed. The practical relevance of block-oriented models is illustrated through biomedical/physiological system modeling. The book will be of major interest to all those who are concerned with nonlinear system identification whatever their activity areas. This is particularly the case for educators in electrical, mechanical, chemical and biomedical engineering and for practising engineers in process, aeronautic, aerospace, robotics and vehicles control. Block-oriented Nonlinear System Identification serves as a reference for active researchers, newcomers, industrial and education practitioners and graduate students alike.

About the authors

Fouad GIRI received his PhD in automatic control from the Institut National Polytechnique of Grenoble, France, in 1988. He is Professor at the University of Caen basse-Normandie, Caen, France and member of the GREYC Lab (CNRS UMR 6072). He has served as associate editor for several journals including Control Engineering Practice and as a member of IFAC Technical Commitees on Modeling Identification and Signal Processing, and Adaptive and Learning Systems. His research interests include nonlinear system identification, nonlinear, adaptive and constrained control, and the application of identification and control theory to power converters and electric machines. He has published over 170 journal/conference papers on these topics and co-authored two textbooks on automatic control.

Er-Wei BAI received his PhD from the University of California in Berkeley in 1987 and is Professor of Electrical Engineering at the University of Iowa. He is an IEEE Fellow and an author/co-author of over 140 journal papers in the area. He has served as associate editor for a number of journals including IEEE Transactions on Automatic Control and Automatica. He currently serves as a member of the IEEE CSS Technical Committee on Identification and Adaptive Control and the IFAC Technical Committee on Modeling, Identification and Signal Processing

Reviews

From the reviews:

“The book covers a wide range of topics dealing with identification of block-oriented nonlinear structures. The topics are carefully selected and no important topics are left out. Many topics are treated in depth using a plethora of tools from probability theory, statistics and signal theory. This makes the book an indispensable and valuable resource for any researcher in the field of nonlinear system identification.” (Adam Krzyżak, Mathematical Reviews, Issue 2012 e)

Table of contents (24 chapters)

  • Introduction to Block-oriented Nonlinear Systems

    Bai, Er-Wei (et al.)

    Pages 3-11

  • Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective

    Schetzen, Martin

    Pages 13-24

  • An Optimal Two-stage Identification Algorithm for Hammerstein–Wiener Nonlinear Systems

    Bai, Er-Wei

    Pages 27-34

  • Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems

    Vörös, Jozef

    Pages 35-51

  • Iterative Identification of Hammerstein Systems

    Liu, Yun (et al.)

    Pages 53-65

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-84996-513-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $209.00
price for USA
  • ISBN 978-1-84996-512-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Block-oriented Nonlinear System Identification
Editors
  • Fouad Giri
  • Er-Wei Bai
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
404
Copyright
2010
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84996-513-2
DOI
10.1007/978-1-84996-513-2
Softcover ISBN
978-1-84996-512-5
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XX, 426
Number of Illustrations and Tables
50 b/w illustrations
Topics