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Trajectory Prediction with Recurrent Neural Networks for Predictive Resource Allocation 会议论文
International Conference on Signal Processing Proceedings, ICSP, 2018-08-12
作者:  Zhang, W.;  Liu, Y.;  Liu, T.;  Yang, C.
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Self-calibration based view-invariant hand gesture trajectory analysis 期刊论文
Journal of Information Hiding and Multimedia Signal Processing, 2018, 卷号: 9, 期号: 5, 页码: 1114-1127
作者:  Zhang, Mo-Yi;  Zhang, Qiu-Yu;  Duan, Hong-Xiang;  Chen, Hai-Yan
收藏  |  浏览/下载：10/0  |  提交时间：2020/11/14
Adaptive control at launching using three loop autopilot (EI CONFERENCE) 会议论文
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Zhang Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
In order to guarantee the precise initial flight trajectory  control the missile disturbance of large disturbance torque  three loop adaptive autopilot was researched. The characteristics of the projectile and three loop autopilot instruction formation characteristics were analysed. From equivalent pitching angle of lateral acceleration feedback loop  combined with the instruction of generalized error  autopilot structure was simplified  and three loop autopilot adaptive control law and stability were designed. The test data show that when disturbance torque was 600Nm  the attitude angle generalized error was -4.4. In the time lasted about 15s  late trajectory accuracy was within 1.0.Three loop autopilot adaptive control law was able to control the disturbance of initial trajectory and adapt to dynamic characteristics changes  control system stability. It was the initial trajectory accurate solution method of flight. 2011 IEEE.  
Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文
International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China
Lv S.; Liu J.; Jia P.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system  using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information  this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First  the drift error model of inertial platform is established  after selecting the input and output for network  momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm  the extended nonlinear node function in the hidden network does not only improve the learning speed of network  but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform  the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.  
基于三维视觉的焊接机器人轨迹跟踪 期刊论文
2010, 2010
张文增; 陈强; 都东; 孙振国; 张国贤; ZHANG Wenzeng; CHEN Qiang; DU Dong; SUN Zhenguo; ZHANG Guoxian
收藏  |  浏览/下载：5/0
Seam tracking of articulated robot for laser welding based on visual feedback control 会议论文
Robotic Welding, Intelligence and Automation, International Conference on Robotic Welding, Intelligence and Automation, Shanghai, PEOPLES R CHINA, Web of Science
Zhang, Wenzeng; Chen, Qiang; Zhang, Guoxian; Sun, Zhenguo; Du, Dong
收藏  |  浏览/下载：7/0
Modular aircraft simulation platform based on simulink (EI CONFERENCE) 会议论文
2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China
Chen C.-Q.; Ji Y.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
Aircraft simulation platform is the most important supporting technology in the aircraft development process. This simulation platform can be used for validating the design of subsystem and also it provides the necessary data for the Aircraft design. Wind has great impact on the flight parameter. In order to accurately simulate the wind model and calculate the flight parameters  a simulation modeling method for flight parameter simulation platform under wind field environment is established. Firstly  the various sub-systems which affecting flight parameters are analyzed  some mathematical models of the flight parameter simulation platform is established. Secondly  the atmospheric wind field is studied to analyze the impact on its trajectory. Then the model is built in the Simulink toolbox in the Matlab which is based on the principles of hierarchy and modularity  using C MEX S-function for the complex kinetic equations. Finally  when the models have been established  encapsulating models for several subsystem and assembling them for the Aircraft simulation platform based on the unified interface. The simulation tests (including the performance test of a certain gliding Aircraft  the wind influence test of a certain uncontrolled aircraft) prove the simulation capability of the platform  and its calculating step can reach 1 ms. Comparing simulation with field test data of a certain uncontrolled aircraft  it shows that the relative deviation of range is 0.47%  the relative deviation of maximal altitude is 2.1%. Taking relevant standards as a reference standard  it is demonstrated the platform is reliable  meets the engineering accuracy requirements. 2010 IEEE.  
APPROACH TO IMPROVEMENT OF ROBOT TRAJECTORY ACCURACY BY DYNAMIC COMPENSATION 期刊论文
Chinese Journal of Mechanical Engineering, 2004, 卷号: 第3期, 页码: P446-449
作者:  Wang Gang Ren Guoli Yan Xiang'an Wang Guodong
收藏  |  浏览/下载：1/0  |  提交时间：2019/11/26
Experiment Study of Positioning Accuracy for a SCARA Robot (CPCI-S收录) 会议
作者:  Tong, Yilong[1];  Huang, Yanjiang[1];  Yang, Lixin[1];  Li, Changsheng[1];  Zhang, Xianmin[1]
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/11

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