Block-oriented Nonlinear System Identification deals with an area of researchthat 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 isillustrated 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 forpractising engineers in process, aeronautic, aerospace, robotics and vehiclescontrol. Block-oriented Nonlinear System Identification serves as a referencefor 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 INDICE: Block-oriented Nonlinear Systems.- Nonlinear System Modelling Based on Wiener Theory.- Parametric Identification of Hammerstein: Over-parameterization Approach.- Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems.- Iterative Identification of Parametric Hammerstein.- Hammerstein System Identification.- Maximum Likelihood Estimation of WienerModels.- Stochastic Identification of Wiener Systems.- Convergence Rate in Nonparametric and Semi-parametric Identification.- Identification of Block-oriented Systems Using the Invariance Property.- Frequency Identification of Hammerstein Systems.- Frequency Identification of Wiener Systems.- Frequency Identification of Wiener and Hammerstein Systems.- Kernel-based Methods in the Identification of Wiener–Hammerstein Systems in Closed Loop within a Subspace Context.- Least-squares Support Vector Machine Estimation of Hammerstein Systems.- Separable Least-squares Estimation of Hammerstein with Hard Nonlinearities.- Blind Identification of Block Structures with Unknown Input.- Blind Identification of Hammerstein–Wiener Systems.- Nonlinear Filtered-algorithm for a Class ofParallel Hammerstein Systems.- Bounded Error Identification of Hammersteini with Backlash.- Decouple Input Hammerstein System Identification.- Identification of Block-oriented System with Input Backlash.- Block-oriented Models in Biomedical/Physiological Applications.- Block-oriented Modelling in Biological Systems.
- ISBN: 978-1-84996-512-5
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 431
- Fecha Publicación: 23/10/2010
- Nº Volúmenes: 1
- Idioma: Inglés