Download the fantastic book titled Block oriented Nonlinear System Identification written by Fouad Giri, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Block oriented Nonlinear System Identification", which was released on 23 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the genre.
Summary of Block oriented Nonlinear System Identification by Fouad Giri PDF
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.
Detail About Block oriented Nonlinear System Identification PDF
- Author : Fouad Giri
- Publisher : Anonim
- Genre :
- Total Pages : 123 pages
- ISBN : 9781849965149
- Release Date : 23 June 2024
- PDF File Size : 43,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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