Block-oriented Nonlinear System Identification
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; stoch...
Zapisane w:
| 1. autor: | |
|---|---|
| Kolejni autorzy: | |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
London :
Springer London
2010.
Cham : Springer Nature |
| Seria: | Lecture Notes in Control and Information Sciences
404 |
| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Block-oriented nonlinear system identification, Fouad Giri and Er-Wei Bai (Eds.), Berlin, Springer, 2010, 1 volume (xix-423 pages), Lecture notes in control and information sciences, 978-1-84996-512-5 • Block-oriented Nonlinear System Identification, Texte imprimé, 9781849965149 |
Spis treści:
- Block-oriented Nonlinear Models
- to Block-oriented Nonlinear Systems
- Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective
- Iterative and Overparameterization Methods
- An Optimal Two-stage Identification Algorithm for Hammerstein Wiener Nonlinear Systems
- Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems
- Iterative Identification of Hammerstein Systems
- Stochastic Methods
- Recursive Identification for Stochastic Hammerstein Systems
- Wiener System Identification Using the Maximum Likelihood Method
- Parametric Versus Nonparametric Approach to Wiener Systems Identification
- Identification of Block-oriented Systems: Nonparametric and Semiparametric Inference
- Identification of Block-oriented Systems Using the Invariance Property
- Frequency Methods
- Frequency Domain Identification of Hammerstein Models
- Frequency Identification of Nonparametric Wiener Systems
- Identification of Wiener Hammerstein Systems Using the Best Linear Approximation
- SVM, Subspace and Separable Least-squares
- Subspace Identification of Hammerstein Wiener Systems Operating in Closed-loop
- NARX Identification of Hammerstein Systems Using Least-Squares Support Vector Machines
- Identification of Linear Systems with Hard Input Nonlinearities of Known Structure
- Blind Methods
- Blind Maximum-likelihood Identification of Wiener and Hammerstein Nonlinear Block Structures
- A Blind Approach to Identification of Hammerstein Systems
- A Blind Approach to the Hammerstein-Wiener Model Identification
- Decoupling Inputs and Bounded Error Methods
- Decoupling the Linear and Nonlinear Parts in Hammerstein Model Identification
- Hammerstein System Identification in Presence of Hard Memory Nonlinearities
- Bounded ErrorIdentification of Hammerstein Systems with Backlash
- Application of Block-oriented Models
- Block Structured Modelling in the Study of the Stretch Reflex
- Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation.