ENGLISH

Robust Optimization-Directed Design

By Panos M. Pardalos , E. Aulisa , S. Manservisi (auth.) , Andrew J. Kurdila , Michael Zabarankin (eds.)

Book information

Publisher
Springer US
Year
2006
ISBN
0-387-28263-7, 0-387-28654-3, 978-0-387-28263-3, 978-0-387-28654-9
DOI
10.1007/0-387-28654-3
LCC
Q295 .K875 2006
Open Library ID
OL3427466M
Language
english
Format
PDF
Filesize
12 MB (12852832 bytes)
Series
Nonconvex Optimization and Its Applications 81
Edition
1
Pages
275\278
Topic
Physics
Library
Kingdwarf
Time added
2010-01-07 06:59:20
ControlOptimization; Applications of Mathematics; Systems

Description

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. Audience

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