Combining Global and Local Strategies to Optimize Parameters in Magnetic Spacecraft Control via Attitude Feedback
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DOI: 10.1007/s10957-019-01492-0
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References listed on IDEAS
- Renato Bruni & Fabio Celani, 2017. "A Robust Optimization Approach for Magnetic Spacecraft Attitude Stabilization," Journal of Optimization Theory and Applications, Springer, vol. 173(3), pages 994-1012, June.
- D. Serafino & G. Liuzzi & V. Piccialli & F. Riccio & G. Toraldo, 2011. "A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics," Journal of Optimization Theory and Applications, Springer, vol. 151(1), pages 175-190, October.
- Yaroslav D. Sergeyev & Marat S. Mukhametzhanov & Dmitri E. Kvasov & Daniela Lera, 2016. "Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization," Journal of Optimization Theory and Applications, Springer, vol. 171(1), pages 186-208, October.
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Cited by:
- Fabio Celani & Renato Bruni, 2021. "Minimum-Time Spacecraft Attitude Motion Planning Using Objective Alternation in Derivative-Free Optimization," Journal of Optimization Theory and Applications, Springer, vol. 191(2), pages 776-793, December.
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Keywords
Derivative-free optimization; Attitude control; Min–max formulations; Strategy integration; Magnetorquers;All these keywords.
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