Two-degree-of-freedom control systems: the Youla Parameterization approach
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 c...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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London
Academic Press
[2015]
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| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and indexes Front Cover; TWO-DEGREE-OF-FREEDOM CONTROL SYSTEMS; Copyright; DEDICATION; THE BEST STUDENTS; THE CLOSEST COWORKERS; NOTATION; ABBREVIATIONS; CONTENTS; 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 REGULATORPOLE 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 RegulatorSECOND-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 ''NAIVE'' PROCESS MODEL; CONTROL OF INVERSE STABLE MIMO PROCESS MODELS; DECOUPLING CONTROL OF MIMO PROCESS MODELS DECOUPLING CONTROL USING YOULA-PARAMETERIZED MIMO REGULATORSDECOUPLING 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 IdentificationTYPES 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; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES |
| Beschreibung: | 1 online resource illustrations |
| ISBN: | 9780128033463 0128033460 9780128033104 |
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| 500 | |a Includes bibliographical references and indexes | ||
| 500 | |a Front Cover; TWO-DEGREE-OF-FREEDOM CONTROL SYSTEMS; Copyright; DEDICATION; THE BEST STUDENTS; THE CLOSEST COWORKERS; NOTATION; ABBREVIATIONS; CONTENTS; 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 | ||
| 500 | |a POLE PLACEMENT WITH FEEDBACK REGULATORPOLE 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 | ||
| 500 | |a Chapter 5 -- Conventional PID RegulatorSECOND-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 ''NAIVE'' PROCESS MODEL; CONTROL OF INVERSE STABLE MIMO PROCESS MODELS; DECOUPLING CONTROL OF MIMO PROCESS MODELS | ||
| 500 | |a DECOUPLING CONTROL USING YOULA-PARAMETERIZED MIMO REGULATORSDECOUPLING 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 | ||
| 500 | |a Chapter 10 -- Process IdentificationTYPES 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; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES | ||
| 520 | |a 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 | ||
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| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Feedback control systems | |
| 650 | 4 | |a Automatic control | |
| 650 | 4 | |a Automatic control / Mathematical models | |
| 700 | 1 | |a B any asz, Csilla |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804175251076022272 |
|---|---|
| any_adam_object | |
| author | Keviczky, L aszl o B any asz, Csilla |
| author_facet | Keviczky, L aszl o B any asz, Csilla |
| author_role | aut aut |
| author_sort | Keviczky, L aszl o |
| author_variant | l a o k lao laok a a c b aac aacb |
| building | Verbundindex |
| bvnumber | BV042940603 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (DE-599)BVBBV042940603 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV042940603 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:13:19Z |
| institution | BVB |
| isbn | 9780128033463 0128033460 9780128033104 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028367102 |
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| physical | 1 online resource illustrations |
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| publishDate | 2015 |
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| publisher | Academic Press |
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| spelling | Keviczky, L aszl o aut Two-degree-of-freedom control systems the Youla Parameterization approach L aszl o Kevickzy and Csilla B any asz First edition London Academic Press [2015] 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and indexes Front Cover; TWO-DEGREE-OF-FREEDOM CONTROL SYSTEMS; Copyright; DEDICATION; THE BEST STUDENTS; THE CLOSEST COWORKERS; NOTATION; ABBREVIATIONS; CONTENTS; 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 REGULATORPOLE 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 RegulatorSECOND-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 ''NAIVE'' PROCESS MODEL; CONTROL OF INVERSE STABLE MIMO PROCESS MODELS; DECOUPLING CONTROL OF MIMO PROCESS MODELS DECOUPLING CONTROL USING YOULA-PARAMETERIZED MIMO REGULATORSDECOUPLING 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 IdentificationTYPES 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; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES 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 TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Mathematisches Modell Feedback control systems Automatic control Automatic control / Mathematical models B any asz, Csilla aut http://www.sciencedirect.com/science/book/9780128033104 Verlag Volltext |
| spellingShingle | Keviczky, L aszl o B any asz, Csilla Two-degree-of-freedom control systems the Youla Parameterization approach TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Mathematisches Modell Feedback control systems Automatic control Automatic control / Mathematical models |
| title | Two-degree-of-freedom control systems the Youla Parameterization approach |
| title_auth | Two-degree-of-freedom control systems the Youla Parameterization approach |
| title_exact_search | Two-degree-of-freedom control systems the Youla Parameterization approach |
| title_full | Two-degree-of-freedom control systems the Youla Parameterization approach L aszl o Kevickzy and Csilla B any asz |
| title_fullStr | Two-degree-of-freedom control systems the Youla Parameterization approach L aszl o Kevickzy and Csilla B any asz |
| title_full_unstemmed | Two-degree-of-freedom control systems the Youla Parameterization approach L aszl o Kevickzy and Csilla B any asz |
| title_short | Two-degree-of-freedom control systems |
| title_sort | two degree of freedom control systems the youla parameterization approach |
| title_sub | the Youla Parameterization approach |
| topic | TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Mathematisches Modell Feedback control systems Automatic control Automatic control / Mathematical models |
| topic_facet | TECHNOLOGY & ENGINEERING / Engineering (General) Mathematisches Modell Feedback control systems Automatic control Automatic control / Mathematical models |
| url | http://www.sciencedirect.com/science/book/9780128033104 |
| work_keys_str_mv | AT keviczkylaszlo twodegreeoffreedomcontrolsystemstheyoulaparameterizationapproach AT banyaszcsilla twodegreeoffreedomcontrolsystemstheyoulaparameterizationapproach |