Algoritma Robust Kalman Filtering untuk Sistem Waktu Kontinu yang Tidak Pasti


DOI: https://doi.org/10.30998/.v3i1.3045

Budi Rudianto(1*), Muhafzan Muhafzan(2), Mahdivan Syafwann(3), Syafrizal Sy(4),

(1) Departemen Matematika dan Sains Data Universitas Andalas
(2) 
(3) 
(4) 
(*) Corresponding Author

Abstract


The Kalman filtering algorithm is an estimation method widely used in various engineering applications, such as navigation, control, and communication systems. However, the performance of this algorithm can degrade drastically when applied to systems with model uncertainty and disturbances. This paper discusses the construction and numerical simulation of a Robust Kalman Filtering Algorithm that is able to cope with uncertainties in continuous time systems. This algorithm shows better performance compared to conventional Kalman Filtering under uncertain conditions.

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DOI: https://doi.org/10.30998/.v3i1.3045

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