Identification of Continuous-time Models from Sampled Data /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Garnier, Hugues. (Editor ), Wang, Liuping. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	London : Springer London : Imprint: Springer, 2008.
Edición:	1st ed. 2008.
Colección:	Advances in Industrial Control,
Materias:	Control engineering. Logic design. Probabilities. Computer simulation. Vibration. Dynamical systems. Dynamics. Signal processing. Image processing. Speech processing systems. Control and Systems Theory. Logic Design. Probability Theory and Stochastic Processes. Simulation and Modeling. Vibration, Dynamical Systems, Control. Signal, Image and Speech Processing.

Tabla de Contenidos:

Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance
Estimation of Continuous-time Stochastic System Parameters
Robust Identification of Continuous-time Systems from Sampled Data
Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models
Instrumental Variable Methods for Closed-loop Continuous-time Model Identification
Model Order Identification for Continuous-time Models
Estimation of the Parameters of Continuous-time Systems Using Data Compression
Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects
The CONTSID Toolbox: A Software Support for Data-based Continuous-time Modelling
Subspace-based Continuous-time Identification
Process Parameter and Delay Estimation from Non-uniformly Sampled Data
Iterative Methods for Identification of Multiple-input Continuous-time Systems with Unknown Time Delays
Closed-loop Parametric Identification for Continuous-time Linear Systems via New Algebraic Techniques
Continuous-time Model Identification Using Spectrum Analysis with Passivity-preserving Model Reduction.

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