Identification of Continuous-time Models from Sampled Data

Name: Identification of Continuous-time Models from Sampled Data
Brand: Springer London Ltd
SKU: 9781848001602
Price: 228.79 EUR
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Autor: Hugues Garnier, Liuping Wang

Jazyk:

Väzba: Pevná

Vydavateľ: Springer London Ltd

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228.79 €

Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this activ...

Informácie o knihe

Autor

Hugues Garnier, Liuping Wang

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2008

Stránok

413

EAN

9781848001602

ISBN

1848001606

Enbook ID

01433867

Vydavateľ

Springer London Ltd

Hmotnosť

1750

Rozmery

155 x 235 x 29

Kompletný popis

Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domain optimal statistical approaches to identification; parametric identification for linear, nonlinear and stochastic systems; identification using instrumental variable, subspace and data compression methods; closed-loop and robust identification; and continuous-time modeling from non-uniformly sampled data and for systems with delay. §The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. A valuable reference for a broad audience drawn from researchers and graduate students in signal processing as well as in systems and control this book also covers material suitable for specialised graduate courses in these areas.

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Identification of Continuous-time Models from Sampled Data

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