System identification with quantized observations
This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal...
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| Glavni autori: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Boston, MA :
Birkhäuser Boston
2010.
Cham : Springer Nature |
| Serija: | Systems & Control: Foundations & Applications
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| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Autre contribution : Yanlong Zhao (auteur) Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • System Identification with Quantized Observations, Texte imprimé, 9780817649579 • System identification with quantized observations, Le Yi Wang, G. George Yin, Ji-Feng Zhang... [et al.], 2010, Boston, Birkhäuser, 1 volume (xviii-317 pages), Systems & control: foundations & applications |
Sadržaj:
- Overview
- System Settings
- Stochastic Methods for Linear Systems
- Empirical-Measure-Based Identification: Binary-Valued Observations
- Estimation Error Bounds: Including Unmodeled Dynamics
- Rational Systems
- Quantized Identification and Asymptotic Efficiency
- Input Design for Identification in Connected Systems
- Identification of Sensor Thresholds and Noise Distribution Functions
- Deterministic Methods for Linear Systems
- Worst-Case Identification under Binary-Valued Observations
- Worst-Case Identification Using Quantized Observations
- Identification of Nonlinear and Switching Systems
- Identification of Wiener Systems with Binary-Valued Observations
- Identification of Hammerstein Systems with Quantized Observations
- Systems with Markovian Parameters
- Complexity Analysis
- Space and Time Complexities, Threshold Selection, Adaptation
- Impact of Communication Channels on System Identification.