Two-Degree-of-Freedom Control Systems
eBook - ePub

Two-Degree-of-Freedom Control Systems

The Youla Parameterization Approach

  1. 536 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Two-Degree-of-Freedom Control Systems

The Youla Parameterization Approach

About this book

This book covers the most important issues from classical and robust control, deterministic and stochastic control, system identification, and adaptive and iterative control strategies. It covers most of the known control system methodologies using a new base, the Youla parameterization (YP). This concept is introduced and extended for TDOF control loops. The Keviczky-Banyasz parameterization (KP) method developed for closed loop systems is also presented. The book is valuable for those who want to see through the jungle of available methods by using a unified approach, and for those who want to prepare computer code with a given algorithm. - Provides comprehensive coverage of the most widely used control system methodologies - The first book to use the Youla parameterization (YP) as a common base for comparison and algorithm development - Compares YP and Keviczky-Banyasz (KB) parameterization to help you write your own computer algorithms

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Yes, you can access Two-Degree-of-Freedom Control Systems by László Kevickzy,Cs. Banyasz in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Dedication 2
  7. Notation
  8. Abbreviations
  9. Preface
  10. Chapter 1. Introduction
  11. Chapter 2. Control of Stable Processes
  12. Chapter 3. Feedback Regulators
  13. Chapter 4. Concept of the Best Achievable Control
  14. Chapter 5. Conventional PID Regulator
  15. Chapter 6. Control of Stochastic Processes
  16. Chapter 7. Control of Multivariable Processes
  17. Chapter 8. Control of Nonlinear Cascade Processes
  18. Chapter 9. Robust Control
  19. Chapter 10. Process Identification
  20. Chapter 11. Adaptive Regulators and Iterative Tuning
  21. Appendix 1. Mathematical Summary
  22. Appendix 2. State-Space Methods
  23. Appendix 3. Sampled Data Systems
  24. Appendix 4. Optimization Problems
  25. Appendix 5. Norms of Signals and Operators
  26. Appendix 6. Derivations of Process Identification Methods
  27. References
  28. Author Index
  29. Subject Index