Zonotope and Gaussian Kalman filters based state estimation algorithm for linear system with dual noise term
نویسندگان
چکیده
To solve the problem of state estimation for systems with dual noise terms, a zonotope and Gaussian Kalman filters based algorithm is proposed. A estimator designed to obtain interval true in presence both stochastic unknown but bounded (UBB) uncertainties. novel coefficient that weighs relative influence UBB uncertainties introduced, optimal weight solution introduced by minimizing polyhedron space mean square error. Finally, two simulation examples are presented demonstrate accuracy effectiveness proposed algorithm.
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ژورنال
عنوان ژورنال: Iet Control Theory and Applications
سال: 2022
ISSN: ['1751-8644', '1751-8652']
DOI: https://doi.org/10.1049/cth2.12388