Block-oriented Nonlinear System Identification

Giri, Fouad|Bai, Er-Wei

ISBN 10: 1849965129 / ISBN 13: 9781849965125

Published by Springer London, 2010

About this Item

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An exhaustive treatment of an important area of nonlinear systems researchLarge and international author pool ensures authoritative treatmentPresents results illustrated by applications in biomedical and physiological systemsFouad GIRI received his P.

Seller Inventory # 4288664

Bibliographic Details

• Title: Block-oriented Nonlinear System Identification
• Publisher: Springer London
• Publication Date: 2010
• Language: English
• ISBN 10: 1849965129
• ISBN 13: 9781849965125
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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 modelling. 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, new comers, industrial and education practitioners and graduate students alike.

About the Author

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