Novel Adaptive Fuzzy Extended Kalman Filter for Attitude Estimation in Gps-Denied Environment

Author:

Ammar Assad ,Khalaf Wassim,Chouaib Ibrahim

Publisher

Pleiades Publishing Ltd

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference22 articles.

1. Mariana Natalia Ibarra Bonilla, M.Sc. 2015. Pedestrian Dead Reckoning: a neuro-fuzzy approach with inertial measurements fusion based on Kalman filter and DWT. Instituto Nacional de Astrofísica, Óptica y Electrónica. P 45.

2. P. J. Escamilla-Ambrosio, N. Mort, 2000, “Adaptive Kalman filtering through fuzzy logic”, Proc. of the 7th UK Workshop On Fuzzy Systems, Recent Advances and Practical Applications of Fuzzy, Neuro-Fuzzy, and Genetic Algorithm-Based Fuzzy Systems, Sheffield, U.K., pp. 67–73, October 26–27.

3. Escamilla-Ambrosio, P.J. and Mort, N., 2001, September. Development of a fuzzy logic-based adaptive Kalman filter. In Control Conference (ECC), 2001 European (pp. 1768-1773). IEEE.

4. Havangi, R., Nekoui, M.A. and Teshnehlab, M., 2010, September. Adaptive neuro-fuzzy extended Kaiman filtering for robot localization. In Power Electronics and Motion Control Conference (EPE/PEMC), 14th International (pp. T5-130). IEEE.

5. Wang, J.J., Ding, W. and Wang, J., 2007. Improving adaptive Kalman Filter in GPS/SDINS integration with neural network. Proceedings of ION GNSS 2007, pp. 571–578.

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