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Identification Of Continuous-time Models From Sampled Data (advances In Industrial Control) by Hugues Garnier, Liuping Wang, Peter C. Young (auth.), Hugues Garnier PhD, Liuping Wang PhD (eds.) is a engineering available to read on EtoBox.
What is Identification Of Continuous-time Models From Sampled Data (advances In Industrial Control) about?
<p>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 system identification schemes have been based on discrete-time models without concern for the merits of natural continuous-time model descriptions. The continuous-time nature of physical laws, the pe
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Common subject areas: medicine, law, business, engineering.
- Author
- Hugues Garnier, Liuping Wang, Peter C. Young (auth.), Hugues Garnier PhD, Liuping Wang PhD (eds.)
- Publisher
- Springer-Verlag London Ltd
- Published
- 2008
- Language
- EN
- ISBN
- 9781848001619
- Category
- engineering
- Subjects
- Science, Engineering, Mathematics
- Updated
- 2026-03-25
Other editions & translations
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