Hidden Bibliographic Details
| Other authors / contributors: | Savvaris, Al, author.
Tsourdos, Antonios, author.
Chai, Senchun, author.
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| ISBN: | 9789811398452
9811398453
9789811398445
9811398445
9789811398445
9789811398469
9811398461
9789811398476
981139847X
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed August 28, 2019).
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| Summary: | This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the books major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.
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| Other form: | Printed edition: 9789811398445
Printed edition: 9789811398469
Printed edition: 9789811398476
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| Standard no.: | 10.1007/978-981-13-9845-2
10.1007/978-981-13-9
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