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Multi-sensor fusion approach based on nonlinear H∞ filter with interval type 2 fuzzy adaptive parameters tuning for unmanned vehicle localization
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-10-08 , DOI: 10.1177/0959651820961603 Fariz Outamazirt 1 , Djabir Djaidja 1 , Chouaib Boudjimar 1 , Kahina Louadj 2 , Abdelkrim Nemra 1 , Fu Li 3 , Lin Yan 3
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-10-08 , DOI: 10.1177/0959651820961603 Fariz Outamazirt 1 , Djabir Djaidja 1 , Chouaib Boudjimar 1 , Kahina Louadj 2 , Abdelkrim Nemra 1 , Fu Li 3 , Lin Yan 3
Affiliation
In most applications of autonomous navigation, the state of a system must be estimated from noisy sensors. Accurate estimation of the true system state can be achieved using data fusion algorithms....
中文翻译:
基于非线性H∞滤波器的多传感器融合方法与区间2型模糊自适应参数调整无人车定位
在自主导航的大多数应用中,必须从嘈杂的传感器中估计系统的状态。使用数据融合算法可以实现对真实系统状态的准确估计。...
更新日期:2020-10-08
中文翻译:
基于非线性H∞滤波器的多传感器融合方法与区间2型模糊自适应参数调整无人车定位
在自主导航的大多数应用中,必须从嘈杂的传感器中估计系统的状态。使用数据融合算法可以实现对真实系统状态的准确估计。...