Identification of continuous dynamical systems : the Poisson Moment Functional (PMF) approach
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| Hlavní autoři: | , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| Edice: | Lecture notes in control and information sciences
56 |
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| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Identification of continuous dynamical systems, the Poisson Moment Functional (PMF) approach, Dines Chandra Saha, Ganti Prasada Rao, Berlin, Springer-Verlag, 1983, 1 vol. (vii-158 p.), Lecture notes in control and information sciences, 0-387-12759-3 • Identification of Continuous Dynamical Systems, Texte imprimé, 9783662199008 |
Obsah:
- 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].