Variance-Constrained Multi-Objective Stochastic Control and Filtering
eBook - ePub

Variance-Constrained Multi-Objective Stochastic Control and Filtering

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Variance-Constrained Multi-Objective Stochastic Control and Filtering

About this book

  • Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena
  • Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance
  • Includes case studies of several nonlinear stochastic systems
  • Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations
  • Considers both time-invariant systems and time-varying systems
  • Exploits newly developed techniques to handle the emerging mathematical and computational challenges

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Yes, you can access Variance-Constrained Multi-Objective Stochastic Control and Filtering by Lifeng Ma,Zidong Wang,Yuming Bo in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2015
Print ISBN
9781118929490
eBook ISBN
9781118929469
Edition
1
Topic
Mathematics
Subtopic
Mathematical Analysis
Index
Mathematics

Table of contents

  1. Cover
  2. Wiley Series in Dynamics and Control of Electromechanical Systems
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Preface
  7. Series Preface
  8. Acknowledgements
  9. List of Abbreviations
  10. List of Figures
  11. Chapter 1: Introduction
  12. Chapter 2: Robust H∞ Control with Variance Constraints
  13. Chapter 3: Robust Mixed H2/H∞ Filtering
  14. Chapter 4: Robust Variance-Constrained Filtering with Missing Measurements
  15. Chapter 5: Robust Fault-Tolerant Control with Variance Constraints
  16. Chapter 6: Robust H2 Sliding Mode Control
  17. Chapter 7: Variance-Constrained Dissipative Control with Degraded Measurements
  18. Chapter 8: Variance-Constrained H∞ Control with Multiplicative Noises
  19. Chapter 9: Robust H∞ Control with Variance Constraints: the Finite-Horizon Case
  20. Chapter 10: Error Variance-Constrained H∞ Filtering with Degraded Measurements: The Finite-Horizon Case
  21. Chapter 11: Mixed H2/H∞ Control with Randomly Occurring Nonlinearities: The Finite-Horizon Case
  22. Chapter 12: Mixed H2/H∞ Control with Markovian Jump Parameters and Probabilistic Sensor Failures: The Finite-Horizon Case
  23. Chapter 13: Robust Variance-Constrained H∞ Control with Randomly Occurring Sensor Failures: The Finite-Horizon Case
  24. Chapter 14: Mixed H2/H∞ Control with Actuator Failures: the Finite-Horizon Case
  25. Chapter 15: Conclusions and Future Topics
  26. References
  27. Index
  28. End User License Agreement