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pro vyhledávání: '"Kim, Sunsoo"'
Accurate state estimation using low-cost MEMS (Micro Electro- Mechanical Systems) sensors present on Commercial-off-the-shelf (COTS) drones is a challenging problem. Most UAV systems use a combination of a gyroscope, an accelerometer, and a magnetome
Externí odkaz:
http://arxiv.org/abs/2006.14385
This paper addresses modeling and control of a six-degree-of-freedom unmanned aerial vehicle capable of vertical take-off and landing in the presence of wind disturbances. We design a hybrid vehicle that combines the benefits of both the fixed-wing a
Externí odkaz:
http://arxiv.org/abs/2006.11192
Proportional-Integral-Derivative (PID) scheme is the most commonly used algorithm for designing the controllers for unmanned aerial vehicles (UAVs). However, tuning PID gains is a non trivial task. A number of methods have been developed for tuning t
Externí odkaz:
http://arxiv.org/abs/2003.13801
Among algorithms used for sensor fusion for attitude estimation in unmanned aerial vehicles, the Extended Kalman Filter (EKF) is the most commonly used for estimation. In this paper, we propose a new version of H2 estimation called extended H2 estima
Externí odkaz:
http://arxiv.org/abs/2003.13802
Publikováno v:
2020 IEEE Control System Letters
In this paper, we propose a robust Kalman filtering framework for systems with probabilistic uncertainty in system parameters. We consider two cases, namely discrete time systems, and continuous time systems with discrete measurements. The uncertaint
Externí odkaz:
http://arxiv.org/abs/2003.10926
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