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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tempo, Roberto (Autor), Calafiore, Giuseppe (Autor), Dabbene, Fabrizio (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Communications and Control Engineering,
Temas:
Computer science.
Control engineering.
Mathematics.
Algorithms.
System theory.
Control theory.
Telecommunication.
Theory of Computation.
Control and Systems Theory.
Applications of Mathematics.
Systems Theory, Control .
Communications Engineering, Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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