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Two-Degree-of-Freedom Control Systems
The Youla Parameterization Approach
1st Edition - June 18, 2015
Authors: László Kevickzy, Cs. Banyasz
Language: English
Paperback ISBN:9780128033104
9 7 8 - 0 - 1 2 - 8 0 3 3 1 0 - 4
eBook ISBN:9780128033463
9 7 8 - 0 - 1 2 - 8 0 3 3 4 6 - 3
This book covers the most important issues from classical and robust control, deterministic and stochastic control, system identification, and adaptive and iterative control…Read more
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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
Dedication
Dedication 2
Notation
Abbreviations
Preface
Chapter 1. Introduction
1.1. Process Models
1.2. Closed-Loop Control
1.3. Stability of the Closed-Loop Control
1.4. Parameterization of the Closed-Loop Control
Chapter 2. Control of Stable Processes
2.1. Regulators Based on YP
2.2. Other Classical Parameterized Regulators
2.3. Deadbeat Regulators
2.4. Predictive Regulators
Chapter 3. Feedback Regulators
Pole Placement with Pole Cancellation
Pole Placement with Feedback Regulator
Pole Placement with Characteristic Polynomial Design
3.1. Control Loops with State Feedback
3.2. State Feedback Linear Quadratic (LQ) Regulators
3.3. General Polynomial Method for Regulator Design
Chapter 4. Concept of the Best Achievable Control
Decomposition of Sensitivity Function
Decomposition of Sensitivity Function for YP Regulators
Direct Optimization of Sensitivity Function
Special Methods
Empirical Relationships
4.1. Optimization of Design Loss
4.2. Optimization of Realizability Loss
4.3. Optimization of Modeling Loss
Chapter 5. Conventional PID Regulator
Second-Order CT Process with Dead-Time
Observer-Based PID Regulator
Chapter 6. Control of Stochastic Processes
Minimum Variance (MV) Regulator
Generalized Minimum Variance Regulator
Prediction of Deterministic Signals
Prediction of Stochastic Signals
Chapter 7. Control of Multivariable Processes
Youla-Parameterized MIMO Closed-Loop Control
Youla-Parameterized MIMO Regulator for the “Naïve” Process Model
Control of Inverse Stable MIMO Process Models
Decoupling Control of MIMO Process Models
Decoupling Control Using Youla-Parameterized MIMO Regulators
Decoupling Examples
MIMO Process Models Linear in Parameter Matrices
MIMO Predictive Regulators
MIMO Minimum Variance (MV) Regulator
Chapter 8. Control of Nonlinear Cascade Processes
Simple Nonlinear Cascade Models
Nonlinear Proportional-Integral-Derivative (PID) Regulator for Nonlinear Cascade Models
Chapter 9. Robust Control
9.1. Robustness of Youla-Parameterized Regulator
9.2. Limits of Regulator Robustness
9.3. Gap Metrics
9.4. Dialectic between Performance and Robustness
9.5. Product Inequalities
Chapter 10. Process Identification
Types of Models
Model Validation
Parameter Estimation
10.1. Off-line Process Identification Methods
10.2. Recursive Process Identification Methods
10.3. Process Identification in Closed-Loop Control
Chapter 11. Adaptive Regulators and Iterative Tuning
11.1. Algorithms of Adaptive Learning Methods
11.2. Iterative Methods: Simultaneous Identification and Control
11.3. Triple Control
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
No. of pages: 536
Language: English
Edition: 1
Published: June 18, 2015
Imprint: Academic Press
Paperback ISBN: 9780128033104
eBook ISBN: 9780128033463
LK
László Kevickzy
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 Automation Research Institute (CARI) from 1986-1993 and is still a Research Professor there and a Director at the Multidisciplinary Doctoral School at Széchenyi István University, Gyôr.
He has worked with IFAC in various positions since 1981 and was Associate Editor of IFAC’s Journal Automatica for six years. He was also General Chair of ECC’2009 and the president of the European Union Control Association (EUCA) from 2010-2012.
Keviczky was the founding member of the Steering Committee of the COSY European Science Foundation project and initiated the launch of the EU project DYCOMANS.
He has written c-400 papers and has c-701 citations, placing him as the number one expert in this area in Hungary.
Affiliations and expertise
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary.
CB
Cs. Banyasz
Dr Banyask is currently a senior research scientist at CARI where she has worked since 1969. She has a Doctor of Technical university degree and a Candidate of Technical Sciences degree.
During her career she has been awarded the Frigyes Csáki Medal, the István Kruspér Medal, the Outstanding institutional service award (3 times), CARI, and the Knights’s Cross of the Order of Merit of the Republic of Hungary.
She has written c-180 papers and has 118 citations.
Affiliations and expertise
Computer and Automation Research Institute, Hungarian Academy of Sciences, H-1518 Budapest, Kende u 13-17, Hungary
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