Zobrazeno 1 - 10
of 375
pro vyhledávání: '"Yongmin Zhong"'
Publikováno v:
Sensors, Vol 24, Iss 12, p 3850 (2024)
The Kalman filter is an important technique for system state estimation. It requires the exact knowledge of system noise statistics to achieve optimal state estimation. However, in practice, this knowledge is often unknown or inaccurate due to uncert
Externí odkaz:
https://doaj.org/article/e01292e4babd4d3e8d0681cfc6e9e639
Publikováno v:
Sensors, Vol 24, Iss 4, p 1228 (2024)
In vehicle navigation, it is quite common that the dynamic system is subject to various constraints, which increases the difficulty in nonlinear filtering. To address this issue, this paper presents a new constrained cubature particle filter (CCPF) f
Externí odkaz:
https://doaj.org/article/f83d18179995464aac3303ab13801fae
Publikováno v:
IEEE Access, Vol 8, Pp 4814-4823 (2020)
The INS/GNSS integration is the commonly used technique for hypersonic vehicle navigation. However, owing to the complicated flight dynamics with high maneuverability and large flight envelope, the dynamic model of INS/GNSS integration inevitably exi
Externí odkaz:
https://doaj.org/article/e2c403da43184ccab446cf1989d4ae7c
Publikováno v:
IEEE Access, Vol 8, Pp 53471-53483 (2020)
Soft tissue modelling plays a significant role in surgery simulation as well as surgical procedure planning and training. However, it is a challenging research task to satisfy both physical realism and real-time simulation for soft tissue deformation
Externí odkaz:
https://doaj.org/article/40446c3689954cb7bd28e62a89cfe49d
Publikováno v:
IEEE Access, Vol 8, Pp 76143-76157 (2020)
The uncertain disturbance in the system signals can lead to biased state estimates and, in turn, can lead to deterioration in the performance of state estimation for a nonlinear dynamic system. In order to address these issues, this paper develops an
Externí odkaz:
https://doaj.org/article/37363f2d5c7947538f8bd8a5e8df5000
Publikováno v:
IEEE Access, Vol 8, Pp 19590-19605 (2020)
The Gaussian filtering is a commonly used method for nonlinear system state estimation. However, this method requires both system process noise and measurement noise to be white noise sequences with known statistical characteristics. However, it is d
Externí odkaz:
https://doaj.org/article/21f5407b437d487490b222a4930a0b63
Publikováno v:
IEEE Access, Vol 8, Pp 10554-10568 (2020)
The classical Kalman-based filtering algorithm, such as extended Kalman filter or unscented Kalman filter, commonly assumes that the accurate system model or precise noise statistics is known for using. Hence, these filters are not robust estimation
Externí odkaz:
https://doaj.org/article/dc66e51b25064033b789378bb4d7ab5a
Publikováno v:
Sensors, Vol 22, Iss 24, p 9770 (2022)
In recent years, robotic minimally invasive surgery has transformed many types of surgical procedures and improved their outcomes. Implementing effective haptic feedback into a teleoperated robotic surgical system presents a significant challenge due
Externí odkaz:
https://doaj.org/article/b670ab5e1bbf418cb3714b9ef2b8667b
Publikováno v:
Actuators, Vol 11, Iss 11, p 323 (2022)
In practice, the near-bit signals are usually accompanied by noises generated by drilling tool vibration and high-speed rotary. This study introduces discrete wavelet transform to a well drilling area and presents a new weal signal extraction algorit
Externí odkaz:
https://doaj.org/article/f660566c9dab437aa45207c4e80ab4b4
Publikováno v:
Chinese Journal of Aeronautics. 36:363-376