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2014 | OriginalPaper | Chapter

4. Stochastic Models and Optimization Algorithms for Decision Support in Spacecraft Control Systems Preliminary Design

Authors : Eugene Semenkin, Maria Semenkina

Published in: Informatics in Control, Automation and Robotics

Publisher: Springer International Publishing

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Abstract

Technological and command-programming control contours of spacecraft are modelled with Markov chains. These models are used for the preliminary design of spacecraft control system effective structure with the use of special DSS. Corresponding optimization problems with algorithmically given functions of mixed variables are solved with a special stochastic algorithm called self-configuring genetic algorithm that requires no settings determination and parameter tuning. The high performance of the suggested algorithm is proved by the solving real problems of the control contours structure preliminary design.

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Metadata
Title
Stochastic Models and Optimization Algorithms for Decision Support in Spacecraft Control Systems Preliminary Design
Authors
Eugene Semenkin
Maria Semenkina
Copyright Year
2014
Book
Informatics in Control, Automation and Robotics

Print ISBN: 978-3-319-03499-7

Electronic ISBN: 978-3-319-03500-0

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-03500-0_4