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Robust Optimization-Directed Design.

Robust Optimization-Directed Design. 2006 ed..

・ISBN 978-0-387-28263-3 hard EUR 99.99

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お気に入り
著者・編者Kurdila, Andrew J. / Pardalos, Panos M. / Zabarankin, Michael (eds.),
シリーズNonconvex Optimization and Its Applications
出版社(Springer-Verlag New York Inc., US)
出版年月2005
ページ数275 pp.
言語ENG
ニュース番号<M25-20734>

解説

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.