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; • s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Giri, Fouad (Editor ), Bai, Er-Wei (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Control and Information Sciences, 404
Temas:
Control engineering.
Life sciences.
Mathematics.
System theory.
Control theory.
Bioinformatics.
Control and Systems Theory.
Life Sciences.
Applications of Mathematics.
Systems Theory, Control .
Computational and Systems Biology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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 Error Identification 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.

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