
eBook - ePub
Two-Degree-of-Freedom Control Systems
The Youla Parameterization Approach
- 536 pages
- English
- ePUB (mobile friendly)
- 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.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Dedication 2
- Notation
- Abbreviations
- Preface
- Chapter 1. Introduction
- Chapter 2. Control of Stable Processes
- Chapter 3. Feedback Regulators
- Chapter 4. Concept of the Best Achievable Control
- Chapter 5. Conventional PID Regulator
- Chapter 6. Control of Stochastic Processes
- Chapter 7. Control of Multivariable Processes
- Chapter 8. Control of Nonlinear Cascade Processes
- Chapter 9. Robust Control
- Chapter 10. Process Identification
- Chapter 11. Adaptive Regulators and Iterative Tuning
- Appendix 1. Mathematical Summary
- Appendix 2. State-Space Methods
- Appendix 3. Sampled Data Systems
- Appendix 4. Optimization Problems
- Appendix 5. Norms of Signals and Operators
- Appendix 6. Derivations of Process Identification Methods
- References
- Author Index
- Subject Index