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...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2010.
|
Σειρά: | Lecture Notes in Control and Information Sciences,
404 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.