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

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 283)

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.

Keywords

Spacecraft control contours modelling Markov chains  Effective variant choice Complex optimization problems  Self-configuring genetic algorithm Island model 

Notes

Acknowledgments

The research is supported through the Governmental contracts No 16.740.11.0742 and No 11.519.11.4002. The authors are deeply grateful to Dr. Linda Ott, a professor at the Technological University of Michigan, for her invaluable help in improving the text of the article.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of Computer Sciences and TelecommunicationSiberian State Aerospace UniversityKrasnoyarskRussia

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