Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jin-Zhuang Xiao"'
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Since the human dynamic balance system is nonlinear, common models can hardly characterize the adjustment process of human dynamic balance veritably. In this research, the particle swarm optimization (PSO) algorithm and back propagation (BP) neural n
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
This study investigated the frequency response of body oscillations in the medio-lateral (M-L) direction during upright stance and proposes an M-L balance assessment method. Previous investigations have commonly used a visual tracking task and measur
Publikováno v:
Applied Mechanics and Materials. :3956-3959
In order to study the frequency characteristic of body oscillation in the anterior-posterior (AP) direction during upright stance, 10 subjects were exposed to the motion platform with specific posture and followed the tracks of the passive motion sti
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 22:183-194
Considering the decreasing performance of robotic systems under the constraints of actuators, this paper concludes the rules of dynamic control process and extracts the knowledge of optimizing the output of robotic controller based on the analysis of
Autor:
Jin-Zhuang Xiao, Hong-Rui Wang
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
In motion system, many types of faults are related with the abnormity of torque signal. A method was presented which was based on the wavelets function. The compactly supported orthonormal wavelets were introduced. Under it, the fault could be detect
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
On the fault tolerant control of robotic manipulators under the saturation of actuators, a tracking controller with bounded feedback is designed in this article, which is based on gravity compensation and a filter function. An adaptive controller is
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
Aiming at the decreasing performance of robotic system under the constraints of actuators, this paper presents some passive fault tolerant robotic control strategies, which are based on the analysis of Lyapunov function. In this process, using the id
Publikováno v:
Sensors & Materials; 2017, Vol. 29 Issue 7, Part 2, p1081-1087, 7p
Publikováno v:
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
In this paper, a novel fuzzy sliding mode controller for robotic manipulators is proposed. The use of a boundary layer in sliding-mode control has been a common technique to reduce chattering of the control input. However, different choices of the bo
Publikováno v:
2010 International Conference on Machine Learning & Cybernetics (ICMLC); 2010, p965-968, 4p