Performance analysis of derivative-free estimation methods from the perspective of attitude estimation influenced by real data

Author:

Garcia Roberta V.ORCID,Kuga Hélio K.,Silva William R.,Baroni Leandro,Zanardi Maria C. F. P. S.,Pardal Paula C. P. M.

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,General Materials Science

Reference22 articles.

1. F. Ebrahimi, M. Abedi, Design of a robust central difference Kalman filter in the presence of uncertainties and unknown measurement errors. Signal Process. 172, 1–19 (2020)

2. J.R. Wertz, Spacecraft Attitude Determination and Control (D. Reidel, Dordrecht, 1978)

3. S.J. Julier, J.K. Uhlmann, H.F. Durrant-Whyte, A new approach for filtering nonlinear systems. In : Proceedings of the American control Conference, Seattle, Washington, pp. 1628-1632, (1995)

4. M. Norgaard, N.K. Poulsen, O. Ravn, New developments in state estimation for nonlinear systems. Automatica 36, 1627–1638 (2000)

5. M. Das, A. Dey, S. Sandhu, T.K. Ghoshal, Adaptative central difference filter for non-linear state estimation (IET Science Measurement and Technology, 2015), pp.1–6

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1. Celestial mechanics: new discoveries and challenges for space exploration;The European Physical Journal Special Topics;2023-12

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