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.
Andrew J. Kurdila & Panos M. Pardalos
Robust Optimization-Directed Design
Robust Optimization-Directed Design
Ngôn ngữ Anh ● định dạng PDF ● Trang 275 ● ISBN 9780387286549 ● Kích thước tập tin 13.4 MB ● Biên tập viên Andrew J. Kurdila & Panos M. Pardalos ● Nhà xuất bản Springer US ● Thành phố NY ● Quốc gia US ● Được phát hành 2006 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2144485 ● Sao chép bảo vệ DRM xã hội