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Identification of Continuous-time Models from Sampled Data

System identification is an established field in the area of system analysis and control. It aims to determine particular models for dynamical systems based on observed inputs and outputs. Although dynamical systems in the physical world are naturally described in the continuous-time domain, most sy...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Garnier, Hugues. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Liuping. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic 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.
Online Access:https://doi.org/10.1007/978-1-84800-161-9
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https://doi.org/10.1007/978-1-84800-161-9

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