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Data-Driven Controller Design: The H2 Approach

Kataloginformation Katalogdatensatz500168897 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	454673345 Buchausg. u.d.T.: ‡Bazanella, Alexandre Sanfelice: Data-driven controller design
ISBN	978-94-007-2299-6
Name	Sanfelice Bazanella, Alexandre
Name	Campestrini, Lucíola
Name ANZEIGE DER KETTE	Campestrini, Lucíola
Name	Eckhard, Diego
T I T E L	Data-Driven Controller Design
Zusatz zum Titel	The H2 Approach
Verlagsort	Dordrecht
Verlag	Springer Science+Business Media B.V
Erscheinungsjahr	2012
Erscheinungsjahr	2012
Umfang	Online-Ressource (XX, 207p. 106 illus, digital)
Reihe	Communications and Control Engineering
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Data-Driven Controller Design; Preface; References; Acknowledgements; Contents; Abbreviations; Chapter 1: De?nitions; 1.1 The Process; 1.2 The Control; 1.3 The Closed-Loop System; 1.4 The Design Problem; References; Chapter 2: H2 Performance Criteria; 2.1 Introduction; 2.2 The Different Criteria; 2.2.1 Reference Tracking-The Model Reference Control; 2.2.2 Noise Rejection-The Minimum Variance Control; 2.2.3 The Composite Performance; 2.2.4 Economy of Control Effort; 2.3 Duality with System Identi?cation-The Ideal Controllers; 2.3.1 Reference Tracking; 2.3.2 Noise Rejection. 2.3.3 The Composite Criterion2.4 Beware of What You Ask for-Choosing the Reference Model; 2.4.1 Too Ambitious Performance; 2.5 Chapter Conclusions; References; Chapter 3: One-Shot Optimization-The VRFT Method; 3.1 Introduction; 3.2 The Ideal Case; 3.2.1 Generation of the Virtual Reference-A Caveat; 3.3 The Mismatched Case; 3.4 Dealing with Non-minimum Phase Plants; 3.4.1 The Flexible VRFT Criterion; 3.4.2 Implementation Issues; 3.4.2.1 Remarks on the Filter L(z); 3.4.3 Two-Step Procedure; 3.5 The Noisy Case; 3.5.1 Choosing the Instrumental Variable. 3.5.1.1 Instrumental Variables for the Flexible VRFT Criterion3.6 Case Studies; 3.6.1 The Need of Instrumental Variables; 3.6.2 Applying the Flexible Criterion; 3.6.2.1 Process with One Non-minimum Phase Zero; Assumption BNMP is Satis?ed; Assumption BNMP is Not Satis?ed; Dealing with Noisy Data; 3.6.2.2 Process with Two Minimum-Phase Zeros; Assumption BNMP is Satis?ed; Assumption BNMP is Not Satis?ed; 3.7 Chapter Conclusions; References; Chapter 4: Iterative Optimization; 4.1 Some Things to Remember from Calculus; 4.2 Optimization Algorithms (Dynamic Systems); 4.2.1 Autonomous Systems. 4.3 The Basic Algorithms and Their Convergence4.3.1 Steepest Descent; 4.3.2 Other Search Directions; 4.3.3 Newton-Raphson; 4.3.4 Robustness; 4.4 Chapter Conclusions; References; Chapter 5: Convergence to the Globally Optimal Controller; 5.1 Jy-The Reference Tracker; Checking the Convergence Condition; The Role of Phir; 5.2 Je-The Variance Minimizer; 5.3 The Mismatched Case; 5.4 Choosing the Algorithm Parameters; 5.4.1 The Search Direction; 5.4.2 The Step Sizes-First Solution; 5.4.3 The Step Sizes-Second Solution; 5.4.3.1 Estimate of M(rho); 5.5 A Case Study; 5.6 Chapter Conclusions. ReferencesChapter 6: Cost Function Shaping; 6.1 Introduction; 6.2 The Problem Data; 6.3 Cautious Control; 6.4 Manipulation of the Reference Spectrum; 6.4.1 Properties of the Sensitivity; 6.4.2 Applying a Different Reference; 6.4.3 Windowing; 6.5 Case Studies; 6.5.1 A PID Design; 6.5.1.1 Cautious Control; 6.5.1.2 Shaping the Reference Spectrum; 6.5.2 A Noisy Process; 6.6 Chapter Conclusions; References; Chapter 7: Computations; 7.1 Iterative Feedback Tuning; 7.1.1 Derivation; The IFT Algorithm; 7.1.2 Extensions; 7.1.2.1 Other Search Directions; 7.1.2.2 Two Degree-of-Freedom Controllers. The IFT Algorithm for 2DOF Controllers
Titelhinweis	Buchausg. u.d.T.: ‡Bazanella, Alexandre Sanfelice: Data-driven controller design
ISBN	ISBN 978-94-007-2300-9
Klassifikation	TJFM
	TJFD
	TEC004000
	TEC037000
	*93-02
	93B52
	93C40
	93E35
	629.8
	TJ210.2-211.495
	TJ163.12
Kurzbeschreibung	Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990's. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference
1. Schlagwortkette	Mikrocontroller
	Entwurf
	H-2-Methode
ANZEIGE DER KETTE	Mikrocontroller -- Entwurf -- H-2-Methode
SWB-Titel-Idn	355115328
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-94-007-2300-9
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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