Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Qingxian Wu"'
Publikováno v:
Defence Technology, Vol 32, Iss , Pp 1-22 (2024)
Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. Aiming to reduce the influence of non-complete ground threat information on UAH path planning, a ground threat prediction-based p
Externí odkaz:
https://doaj.org/article/b2c958ee4d7e40969f6d3eb18a8c2b19
Publikováno v:
Complexity, Vol 2022 (2022)
In this study, an adaptive output feedback fault tolerant control (FTC) scheme is proposed for a class of multi-input and multioutput (MIMO) nonlinear systems with multiple constraints. The neural network (NN) is adopted to handle the unknown nonline
Externí odkaz:
https://doaj.org/article/e766ecadd73d43cea7980268fd20e534
Publikováno v:
Drones, Vol 7, Iss 3, p 157 (2023)
In human-computer gaming scenarios, the autonomous decision-making problem of an unmanned combat air vehicle (UCAV) is a complex sequential decision-making problem involving multiple decision-makers. In this paper, an autonomous maneuver decision-mak
Externí odkaz:
https://doaj.org/article/3078a125f1ac409c8b74c59fa4943d89
Publikováno v:
Neural Plasticity, Vol 2021 (2021)
Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. The performance of the automatic path planner determines the quality of the UAH flight path. Aiming to produce a high-quality fli
Externí odkaz:
https://doaj.org/article/9afa23fc3b994865b3236a72f812f6df
Publikováno v:
The Journal of Engineering (2019)
A backstepping-based robust adaptive fault tolerant control (FTC) scheme is proposed for the altitude and attitude dynamic model of the medium-scale unmanned autonomous helicopter (UAH) subjected to external disturbance and actuator fault. The extern
Externí odkaz:
https://doaj.org/article/0be169240c804e958699f653fa389a16
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
In this article, a prescribed performance-based adaptive neural network control scheme is proposed for an uncertain small-scale unmanned helicopter system subject to input saturations and output constraints. The radial basis function neural networks
Externí odkaz:
https://doaj.org/article/268bfa5f174d4a799be0422c58ac0f02
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
In this article, an adaptive neural tracking controller is designed for near-space vehicles with stochastic disturbances and unknown parametric uncertainties. Based on the great nonlinear function approximation capability of neural networks, the unkn
Externí odkaz:
https://doaj.org/article/e4089af73965415290f616f5fcd73a1b
Autor:
Liang Cai, Qingxian Wu
Publikováno v:
International Journal of Aerospace Engineering, Vol 2017 (2017)
Time delay phenomena exist almost everywhere in the actual world and are especially important in the control of an AHV. The small time delay usually ignored in control may cause quite obvious errors in the flight trajectory tracking, because of the e
Externí odkaz:
https://doaj.org/article/a5528cd225f8441695dbd2b1fbbb6ddc
Publikováno v:
Applied Sciences, Vol 7, Iss 3, p 219 (2017)
Wing rock is a highly nonlinear phenomenon when the aircraft suffers undesired roll-dominated oscillatory at high angle of attack (AOA). Considering the strong nonlinear and unsteady aerodynamic characteristics, an uncertain multi-input and multi-out
Externí odkaz:
https://doaj.org/article/ee39b60ec20f4d4ab97a3bfa9a4ae019
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db4883d70f1cdba6e1eec3883a7ee12a
https://doi.org/10.1109/tmech.2022.3229446
https://doi.org/10.1109/tmech.2022.3229446