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
- Introduction
- Control of Stable Processes
- Feedback Regulators
- Concept of the Best Achievable Control
- Conventional PID Regulator
- Control of Stochastic Processes
- Control of Multivariable Processes
- Control of Nonlinear Cascade Processes
- Robust Control
- Process Identification
- Adaptive Regulators and Iterative Tuning
- Appendix
A clear and comprehensive guide to control system methodologies using the Youla parameterization as a common base for comparison and algorithm developmentProfessor 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 wal³4