Estimation and control over communication Networks
Rapid advances in communication technology have created the possibility of large-scale control systems with distribution of control tasks among several processors via communication channels. Such control systems may be distributed over large distances and may use large numbers of actuators and senso...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Control Engineering
|
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Estimation and control over communication networks, Alexey S. Matveev, Andrey V. Savkin, Boston, Birkhäuser, 2009, 1 vol. (XIV-533 p.), Control engineering, 978-0-8176-4494-9 • Estimation and Control over Communication Networks, Texte imprimé, 9780817671914 • Estimation and control over communication networks, Alexey S. Matveev, Andrey V. Savkin, Boston, Birkhäuser, 2009, 1 vol. (XIV-533 p.), Control engineering, 978-0-8176-4494-9 |
Indholdsfortegnelse:
- Topological Entropy, Observability, Robustness, Stabilizability, and Optimal Control Stabilization of Linear Multiple Sensor Systems via Limited Capacity Communication Channels Detectability and Output Feedback Stabilizability of Nonlinear Systems via Limited Capacity Communication Channels Robust Set-Valued State Estimation via Limited Capacity Communication Channels An Analog of Shannon Information Theory: State Estimation and Stabilization of Linear Noiseless Plants via Noisy Discrete Channels An Analog of Shannon Information Theory: State Estimation and Stabilization of Linear Noisy Plants via Noisy Discrete Channels An Analog of Shannon Information Theory: Stable in Probability Control and State Estimation of Linear Noisy Plants via Noisy Discrete Channels Decentralized Stabilization of Linear Systems via Limited Capacity Communication Networks H1 State Estimation via Communication Channels Kalman State Estimation and Optimal Control Based on Asynchronously and Irregularly Delayed Measurements Optimal Computer Control via Asynchronous Communication Channels Linear-Quadratic Gaussian Optimal Control via Limited Capacity Communication Channels Kalman State Estimation in Networked Systems with Asynchronous Communication Channels and Switched Sensors Robust Kalman State Estimation with Switched Sensors