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RBF neural network based second-order sliding mode guidance for Mars entry under uncertainties

  • Published:2015-06 Issue: Volume:43 Page:226-235
  • ISSN:1270-9638
  • Container-title:Aerospace Science and Technology
  • language:en
  • Short-container-title:Aerospace Science and Technology

Author:

Li Shuang,Jiang Xiuqiang

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference26 articles.

1. Review and prospect of guidance and control technologies for Mars entry;Li;Prog. Aerosp. Sci.,2014

2. Mars exploration entry, descent, and landing challenges;Braun;J. Spacecr. Rockets,2007

3. Guidance and control for Mars atmospheric entry: adaptivity and robustness;Lu,1997

4. The development of the MSL guidance, navigation, and control system for entry, descent, and landing;San Martin,2013

5. Mars science laboratory entry guidance improvements study for the Mars 2018 mission;Garcia-Llama,2012
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