Block-oriented Nonlinear System Identification
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Beschreibung
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.
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.
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
Autor*in
Fouad Giri
Themen in »Block-oriented Nonlinear System Identification«
Block-orientated Systems Control Cross000 Hammerstein Nonlinear Systems Nonlinear system Parameter Estimation Systems Identification Wiener system system identification Systems Biology
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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)()