Robust Optimization-Directed Design

Andrew J. Kurdila

ISBN 10: 0387282637 / ISBN 13: 9780387282633

Published by Springer US, Springer New York Dez 2005, 2005

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Robust design¿that is, managing design uncertainties such as model uncertainty or parametric uncertainty¿is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression 'optimization-directed¿ in this book¿s title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.

Seller Inventory # 9780387282633

Bibliographic Details

• Title: Robust Optimization-Directed Design
• Publisher: Springer US, Springer New York Dez 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 0387282637
• ISBN 13: 9780387282633
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Robust design―that is, managing design uncertainties such as model uncertainty or parametric uncertainty―is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression "optimization-directed” in this book’s title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.

From the Back Cover

Robust design―that is, managing design uncertainties such as model uncertainty or parametric uncertainty―is the often unpleasant issue crucial in much multidisciplinary optimal design work. Recently, there has been enormous practical interest in strategies for applying optimization tools to the development of robust solutions and designs in several areas, including aerodynamics, the integration of sensing (e.g., laser radars, vision-based systems, and millimeter-wave radars) and control, cooperative control with poorly modeled uncertainty, cascading failures in military and civilian applications, multi-mode seekers/sensor fusion, and data association problems and tracking systems. The contributions to this book explore these different strategies. The expression "optimization-directed” in this book’s title is meant to suggest that the focus is not agonizing over whether optimization strategies identify a true global optimum, but rather whether these strategies make significant design improvements.

 

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