Two-degree-of-freedom Control Systems: The Youla Parameterization Approach by Lászl KevickzyTwo-degree-of-freedom Control Systems: The Youla Parameterization Approach by Lászl Kevickzy

Two-degree-of-freedom Control Systems: The Youla Parameterization Approach

byLászl Kevickzy, Cs. BanyaszEditorLászló Kevickzy

Paperback | June 18, 2015

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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
Professor Keviczky has a PhD in design of regression experiments and a Doctor of Sciences Degree from the Hungarian Academy of Sciences (HAS). He was the founding member of the Hungarian Academy of Engineering and was appointed as a Foreign Member of the Royal Swedish Academy of Engineering Sciences.He was Director of the Computer and ...
Title:Two-degree-of-freedom Control Systems: The Youla Parameterization ApproachFormat:PaperbackDimensions:536 pages, 8.75 × 6.35 × 0.68 inPublished:June 18, 2015Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:012803310X

ISBN - 13:9780128033104

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Table of Contents

  1. Introduction
  2. Control of Stable Processes
  3. Feedback Regulators
  4. Concept of the Best Achievable Control
  5. Conventional PID Regulator
  6. Control of Stochastic Processes
  7. Control of Multivariable Processes
  8. Control of Nonlinear Cascade Processes
  9. Robust Control
  10. Process Identification
  11. Adaptive Regulators and Iterative Tuning
  12. Appendix