Identification of Continuous-time Models from Sampled Data /

Identification of Continuous-time Models from Sampled Data /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Garnier, Hugues. (Editor), Wang, Liuping. (Editor)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Advances in Industrial Control,
Subjects:
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.
Table of Contents:
  • 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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