Randomized algorithms for analysis and control of uncertain systems
The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncer...
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| Main Authors: | , , |
|---|---|
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Series: | Communications and Control Engineering
|
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Randomized Algorithms for Analysis and Control of Uncertain Systems, Texte imprimé, 9781848007260 • Randomized Algorithms for Analysis and Control of Uncertain Systems, Texte imprimé, 9781849968829 • Randomized algorithms for analysis and control of uncertain systems, Roberto Tempo, Giuseppe Calafiore, and Fabrizio Dabbene, London, Springer, 2005, 1 vol. (XII-344 p.), Communications and control engineering, 1-85233-524-6 |
Table of Contents:
- Overview Elements of Probability Theory Uncertain Linear Systems and Robustness Linear Robust Control Design Some Limits of the Robustness Paradigm Probabilistic Methods for Robustness Monte Carlo Methods Randomized Algorithms in Systems and Control Probability Inequalities Statistical Learning Theory and Control Design Sequential Algorithms for Probabilistic Robust Design Sequential Algorithms for LPV Systems Scenario Approach for Probabilistic Robust Design Random Number and Variate Generation Statistical Theory of Radial Random Vectors Vector Randomization Methods Statistical Theory of Radial Random Matrices Matrix Randomization Methods Applications of Randomized Algorithms.