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- W2765767535 abstract "Abstract Dynamic Positioning systems usually include wave filtering functionalities to reduce control actions, and hence wear and tear of the propulsion system. Different approaches for design and parametrization of the wave filter components have been investigated through the years. Anyhow, tuning of these algorithms, especially Kalman filter, is a crucial task for proper function, but systematic guidelines or algorithms are not existing. This paper proposes a method for auto-tuning of Kalman filter for Dynamic Positioning of marine vessels using adaptive algorithms. Existing methods of residual- and innovation-based estimation of covariance matrices are incorporated into a linear Kalman filter and evaluated in simulations. The resulting tuning shows significant improvements in state estimation." @default.
- W2765767535 created "2017-11-10" @default.
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- W2765767535 date "2017-07-01" @default.
- W2765767535 modified "2023-10-16" @default.
- W2765767535 title "Adaptive Kalman Filtering for Dynamic Positioning of Marine Vessels * *The authors want to express their gratitude to the German Federal Ministry of Economics and Technology (BMWi) and the European Commission which have supported this work under grants DP Motion (No. 03SX351D), DP-II (No. 03SX428C) and the ERASMUS + program, respectively." @default.
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- W2765767535 doi "https://doi.org/10.1016/j.ifacol.2017.08.394" @default.
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