A Fuzzy Logic Based Multi-sensor Navigation System for an Unmanned Surface Vehicle
نویسندگان
چکیده
This paper investigates the implementation of three variations of fuzzy logic based Kalman filters namely centralized, decentralized and federated. These fuzzy logic adaptive Kalman filter (FLA-KF) algorithms are implemented in an unmanned surface vehicle (USV) application. Simulation results demonstrate the algorithms’ capabilities under different types of sensor faults and the results are compared on the basis of accuracy, computation efficiency and fault tolerant performance.
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تاریخ انتشار 2006