Overview
- Presents state-of-the-art research in uncertainity modeling, robust design, optimal control and stochastic optimization
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonconvex Optimization and Its Applications (NOIA, volume 81)
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Table of contents(11 chapters)
About this book
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.
Editors and Affiliations
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University of Florida, Gainesville
Andrew J. Kurdila, Panos M. Pardalos
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Stevens Institute of Technology, Hoboken
Michael Zabarankin
Bibliographic Information
Book Title: Robust Optimization-Directed Design
Editors: Andrew J. Kurdila, Panos M. Pardalos, Michael Zabarankin
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/0-387-28654-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-28263-3Published: 02 December 2005
Softcover ISBN: 978-1-4614-9834-6Published: 19 November 2014
eBook ISBN: 978-0-387-28654-9Published: 04 June 2006
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: IX, 275
Topics: Optimization, Applications of Mathematics, Systems Theory, Control