Identification Continuous Dynamical Systems by Saha D C (8 results)
- Softcover
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Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
- Softcover
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Paperback. Condition: Brand New. illustrated edition. 176 pages. 9.60x6.60x0.40 inches. In Stock.
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach [P 17].- Tr…ansfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].
- Softcover
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- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Continuous model identification (CMI)-introduction.- Signal characterization in terms of distributions.- A general algorithm for parameter identification in lumped linear continuous systems - the poisson moment functional (PMF) approach… [P 17].- Transfer function matrix (TFM) identification in multiple input multiple output (MIMO) continuous systems - [P 18].- Conditions of identifiabilty.- A microprocessor based system for on line parameter identification in continuous dynamical systems [P11].- System structure identification [P19, G9, G29].- Identification of time-lag and nonlinear systems.- PMF method in the presence of noise.- Multidimensional PMF's and their use in the identification of distributed parameter systems [P14].Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
