This volume presents a selection of advanced case studies that address a substantial range of issues and challenges arising in space engineering. The contributing authors are well-recognized researchers and practitioners in space engineering and in applied optimization.
The key mathematical modeling and numerical solution aspects of each application case study are presented in sufficient detail. Classic and more recent space engineering problems - including cargo accommodation and object placement, flight control of satellites, integrated design and trajectory optimization, interplanetary transfers with deep space manoeuvres, low energy transfers, magnetic cleanliness modeling, propulsion system design, sensor system placement, systems engineering, space traffic logistics, and trajectory optimization - are discussed. Novel points of view related to computational global optimization and optimal control, and to multidisciplinary design optimization are also given proper emphasis. A particular attention is paid also to scenarios expected in the context of future interplanetary explorations.
Modeling and Optimization in Space Engineering will benefit researchers and practitioners working on space engineering applications. Academics, graduate and post-graduate students in the fields of aerospace and other engineering, applied mathematics, operations research and optimal control will also find the book useful, since it discusses a range of advanced model development and solution techniques and tools in the context of real-world applications and new challenges.
Publisher: Springer-Verlag New York Inc.
Number of pages: 404
Weight: 635 g
Dimensions: 235 x 155 x 22 mm
Edition: 2013 ed.
From the reviews:
"This book presents a collection of such modeling applied to a wide variety of problems related to design, optimal analysis, computational fluid dynamics (CFD), and issues of optimization of payload and related problems that arise from both manned and unmanned missions ... . This book is targeted at practitioners of mathematical and computational optimization methods and/or engineering applications. In this respect, the book provides a state-of-the-art contribution that covers its topics well." (Mike Minkoff, ACM Computing Reviews, March, 2013)
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