A General Framework for Robust Analysis and Control : an Integral Quadratic Constraint Based Approach.

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Veenman, Joost
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : Logos Verlag Berlin, 2015.
Temas:
Robust control.
Commande robuste.
Robust control
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
100 1 |a Veenman, Joost. 
245 1 2 |a A General Framework for Robust Analysis and Control :  |b an Integral Quadratic Constraint Based Approach. 
260 |a Berlin :  |b Logos Verlag Berlin,  |c 2015. 
300 |a 1 online resource (275 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a Intro; 1 Introduction; 1.1 Motivation; 1.1.1 Robust analysis; 1.1.2 Robust control; 1.2 Aim and main goals of the thesis; 1.3 Outline and contributions; 2 Stability analysis with integral quadratic constraints; 2.1 Introduction; 2.2 A specific feedback interconnection; 2.3 Stability analysis with integral quadratic constraints; 2.4 Robust stability and performance analysis; 2.4.1 Robust stability analysis; 2.4.2 Robust performance analysis; 2.4.3 Mixed uncertainties; 2.5 From infinite to finite dimensional feasibility tests; 2.5.1 Parameterizing IQCs; 2.5.2 The KYP Lemma. 
505 8 |a 2.6 IQC-multipliers for uncertainties and nonlinearities2.6.1 Uncertain LTI dynamics; 2.6.2 Arbitrarily fast time-varying parametric uncertainties; 2.6.3 Time-invariant parametric uncertainties; 2.6.4 Rate-bounded time-varying parametric uncertainties; 2.6.5 Time-delay uncertainties; 2.6.6 Passive uncertainties/nonlinearities; 2.6.7 Norm-bounded uncertainties/nonlinearities; 2.6.8 Sector bounded and slope-restricted nonlinearities; 2.6.9 Popov multipliers; 2.7 IQC-multipliers for performance; 2.7.1 Induced L2-gain performance; 2.7.2 Passivity performance; 2.7.3 Quadratic performance. 
505 8 |a 2.7.4 H2-performance2.7.5 Dynamic generalized quadratic-performance; 2.8 Further connections and possibilities; 2.8.1 Connection to the Îơ-theory; 2.8.2 Alternative computational methods; 2.8.3 Discrete-time systems; 2.8.4 Further possibilities; 2.9 Illustrations; 2.9.1 Robustness analysis of an estimator; 2.9.2 Robustness analysis of a helicopter; 2.10 An alternative proof of the IQC-theorem; 2.10.1 Preparations; 2.10.2 Key difficulties to resolve; 2.10.3 A novel reformulation of the IQC-theorem; 2.10.4 The proof; 2.10.5 Outline and possibilities; 2.11 Chapter summary. 
505 8 |a 3 From analysis to synthesis3.1 Introduction; 3.2 Robust controller synthesis; 3.3 Gain-scheduled controller synthesis; 3.4 Robust gain-scheduled controller synthesis; 3.5 Preparations; 3.6 Nominal controller synthesis; 3.7 Nominal gain-scheduled controller synthesis; 3.8 Outline of further possible configurations; 3.8.1 Robust gain-scheduled estimation; 3.8.2 Another general synthesis framework; 3.8.3 General IQC-synthesis; 3.9 Chapter summary; 4 Robust gain-scheduled estimation; 4.1 Introduction; 4.2 The robust gain-scheduled estimation problem; 4.3 Robust stability and performance analysis. 
505 8 |a 4.4 From analysis to synthesis4.4.1 A characterization of nominal stability; 4.4.2 Reformulation of the analysis LMIs; 4.5 A convex solution; 4.6 Illustrations; 4.7 Chapter summary; 5 Another general synthesis framework; 5.1 Introduction; 5.2 A generic feasibility problem; 5.3 A convex solution; 5.3.1 Analysis; 5.3.2 Synthesis; 5.4 Robust gain-scheduling control for systems without control-channel uncertainties; 5.5 Concrete applications; 5.5.1 Generalized L2-synthesis; 5.5.2 Multi-objective and structured controller synthesis; 5.5.3 Robust gain-scheduled observer design. 
500 |a 5.5.4 Open-loop controller synthesis. 
520 8 |a Annotation  |b In this thesis we are concerned with the robustness analysis and control of uncertain systems. We built upon a powerful framework, the so-called integral quadratic constraint (IQC) approach, which enables us, not only to efficiently perform robust stability and performance analysis for a large class of uncertain systems, but also to systematically design robust controllers via solving linear matrix inequalities (LMIs) and convex optimization problems. Indeed, as main contribution, we reveal that the IQC-framework is not only useful for analysis purposes, but also has great potential for a rather diverse class of synthesis questions, some of which have already been addressed in the literature, while others have not. This includes scenarios such as nominal output feedback control, nominal gain-scheduling control, robust estimator or observer design, robust feedforward control, generalized l2-synthesis, multi-objective and structured controller synthesis, robust open-loop controller synthesis, gain-scheduling control with uncertain performance weights and robust controller synthesis with unstable weight, among others. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Robust control. 
650 6 |a Commande robuste. 
650 7 |a Robust control  |2 fast 
776 0 8 |i Print version:  |a Veenman, Joost.  |t A General Framework for Robust Analysis and Control: an Integral Quadratic Constraint Based Approach.  |d Berlin : Logos Verlag Berlin, ©2015  |z 9783832539634 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5231160  |z Texto completo 
938 |a EBL - Ebook Library  |b EBLB  |n EBL5231160 
938 |a YBP Library Services  |b YANK  |n 15138935 
994 |a 92  |b IZTAP 

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