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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology)

Unknown Author
4.9/5 (9008 ratings)
Description: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 book’s 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology). To get started finding Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology), you are right to find our website which has a comprehensive collection of manuals listed.
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Pages
Format
PDF, EPUB & Kindle Edition
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Release
ISBN
9811398453

Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology)

Unknown Author
4.4/5 (1290744 ratings)
Description: 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 book’s 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology). To get started finding Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems (Springer Aerospace Technology), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
9811398453
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