Randomized Algorithms for Analysis and Control of Uncertain Systems

With Applications

Authors:

ISBN: 978-1-4471-4609-4 (Print) 978-1-4471-4610-0 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages I-XXIII

  2. No Access

    Book Chapter

    Pages 1-6

    Overview

  3. No Access

    Book Chapter

    Pages 7-12

    Elements of Probability Theory

  4. No Access

    Book Chapter

    Pages 13-39

    Uncertain Linear Systems

  5. No Access

    Book Chapter

    Pages 41-57

    Linear Robust Control Design

  6. No Access

    Book Chapter

    Pages 59-69

    Limits of the Robustness Paradigm

  7. No Access

    Book Chapter

    Pages 71-91

    Probabilistic Methods for Uncertain Systems

  8. No Access

    Book Chapter

    Pages 93-108

    Monte Carlo Methods

  9. No Access

    Book Chapter

    Pages 109-121

    Probability Inequalities

  10. No Access

    Book Chapter

    Pages 123-134

    Statistical Learning Theory

  11. No Access

    Book Chapter

    Pages 135-146

    Randomized Algorithms in Systems and Control

  12. No Access

    Book Chapter

    Pages 147-163

    Sequential Methods for Probabilistic Design

  13. No Access

    Book Chapter

    Pages 165-179

    Scenario Approach to Probabilistic Design

  14. No Access

    Book Chapter

    Pages 181-191

    Learning-Based Probabilistic Design

  15. No Access

    Book Chapter

    Pages 193-215

    Random Number and Variate Generation

  16. No Access

    Book Chapter

    Pages 217-229

    Statistical Theory of Random Vectors

  17. No Access

    Book Chapter

    Pages 231-242

    Vector Randomization Methods

  18. No Access

    Book Chapter

    Pages 243-266

    Statistical Theory of Random Matrices

  19. No Access

    Book Chapter

    Pages 267-282

    Matrix Randomization Methods

  20. No Access

    Book Chapter

    Pages 283-327

    Applications of Randomized Algorithms

  21. Back Matter

    Pages 329-357