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Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.
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Seitenzahl: 341
Veröffentlichungsjahr: 2014
HAN-XIONG LI
XINJIANG LU
Copyright © 2015 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data:
Li, Han-Xiong. System design and control integration for advanced manufacturing / Han-Xiong Li, XinJiang Lu. -- 1st edition. pages cm Includes bibliographical references. ISBN 978-1-118-82226-5 (cloth) 1. Intelligent control systems. 2. Computer integrated manufacturing systems. I. Lu, XinJiang (Manufacturing researcher) II. Title. TJ217.5.L535 2014 629.8′9--dc23 2014017666
Preface
Acknowledgments
Part I: Background and Fundamentals
Chapter 1: Introduction
1.1 Background and Motivation
1.2 Objectives of the Book
1.3 Contribution and Organization of the Book
Chapter 2: Overview and Classification
2.1 Classification of Uncertainty
2.2 Robust Performance Analysis
2.3 Robust Design
2.4 Integration of Design and Control
2.5 Problems and Research Opportunities
Part II: Robust Design for Static Systems
Chapter 3: Variable Sensitivity Based Robust Design For Nonlinear System
3.1 Introduction
3.2 Design Problem For Nonlinear Systems
3.3 Concept Of Variable Sensitivity
3.4 Variable Sensitivity Based Deterministic Robust Design
3.5 Variable Sensitivity Based Probabilistic Robust Design
3.6 Case Study
3.7 Summary
Chapter 4: Multi-Domain Modeling-Based Robust Design
4.1 Introduction
4.2 Multi-Domain Modeling-Based Robust Design Methodology
4.3 Case Study
4.4 Summary
Chapter 5: Hybrid Model/Data-Based Robust Design Under Model Uncertainty
5.1 Introduction
5.2 Design Problem For Partially Unknown Systems
5.3 Hybrid Model/Data-Based Robust Design Methodology
5.4 Case Study
5.5 Summary
Part III: Robust Design for Dynamic Systems
Chapter 6: Robust Eigenvalue Design Under Parameter Variation— A Linearization Approach
6.1 Introduction
6.2 Dynamic Design Problem Under Parameter Variation
6.3 Linearization-Based Robust Eigenvalue Design
6.4 Multi-Model-Based Robust Design Method For Stability And Robustness
6.5 Case Studies
6.6 Summary
Chapter 7: Robust Eigenvalue Design Under Parameter Variation— A Nonlinear Approach
7.1 Introduction
7.2 Design Problem
7.3 SN-Based Dynamic Design
7.4 Case Study
7.5 Summary
Chapter 8: Robust Eigenvalue Design Under Model Uncertainty
8.1 Introduction
8.2 Design Problem for Partially Unknown Dynamic Systems
8.3 Stability Design
8.4 Robust Eigenvalue Design and Tolerance Design
8.5 Case Study
8.6 Summary
Part IV: Integration of Design and Control
Chapter 9: Design-for-Control-Based Integration
9.1 Introduction
9.2 Integration Problem
9.3 Design-for-Control-Based Integration Methodology
9.4 Case Study
9.5 Summary
Chapter 10: Intelligence-Based Hybrid Integration
10.1 Introduction
10.2 Problem in Hybrid System in Manufacturing
10.3 Intelligence-Based Hybrid Integration
10.4 Case Study
10.5 Summary
Chapter 11: Conclusions
11.1 Summary and Conclusions
11.2 Challenge
References
Index
IEEE Press Series on Systems Science and Engineering
End User License Agreement
Chapter 4
Table 4.1
Table 4.2
Table 4.3
Chapter 5
Table 5.1
Table 5.2
Table 5.3
Table 5.4
Table 5.5
Chapter 6
Table 6.1
Table 6.2
Table 6.3
Table 6.4
Table 6.5
Table 6.6
Table 6.7
Table 6.8
Chapter 7
Table 7.1
Chapter 8
Table 8.1
Table 8.2
Table 8.3
Cover
Table of Contents
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