Robust Optimization-Directed Design

Kurdila, Andrew J.|Pardalos, Panos M.|Zabarankin, Michael

ISBN 10: 1461498341 / ISBN 13: 9781461498346

Published by Springer US, 2014

About this Item

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents state-of-the-art research in uncertainity modeling, robust design, optimal control and stochastic optimizationA Multigrid Approach to Optimal Control Computations for Navier-Stokes Flows.- Control System Radii and Robustness Under Approximation.

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Bibliographic Details

• Title: Robust Optimization-Directed Design
• Publisher: Springer US
• Publication Date: 2014
• Language: English
• ISBN 10: 1461498341
• ISBN 13: 9781461498346
• Binding: Soft cover
• Condition: New

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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