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Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 18
作者:  Tong, Yuchuang;  Liu, Jinguo;  Zhou, Hao;  Ju, Zhaojie;  Zhang, Xin
收藏  |  浏览/下载：7/0  |  提交时间：2023/11/16
Synchronized adaptive control for coordinating manipulators with time-varying actuator constraint and uncertain dynamics 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 卷号: 29, 期号: 12, 页码: 4149-4167
作者:  Wang, Fujie;  Liu, Zhi;  Chen, C. L. Philip;  Zhang, Yun
收藏  |  浏览/下载：52/0  |  提交时间：2019/12/16
Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 3, 页码: 574-588
作者:  Yang, Chenguang;  Jiang, Yiming;  Na, Jing;  Li, Zhijun;  Cheng, Long
收藏  |  浏览/下载：72/0  |  提交时间：2019/07/12
Finite-time convergence adaptive fuzzy control for dual-arm robot with unknown kinematics and dynamics 期刊论文
IEEE Transactions on Fuzzy Systems, 2018
作者:  Chenguang Yang;   Yiming Jiang;   Jing Na;   Zhijun Li;   Long Cheng
收藏  |  浏览/下载：48/0  |  提交时间：2019/02/14
Region-Based Shape Control for Multi-Robot Systems with Uncertain Kinematics and Dynamics 会议论文
Chinese Intelligent Systems Conference (CISC), Yangzhou, PEOPLES R CHINA, 2016-01-01
作者:  Yu, Jia;  Jia, Yingmin;  Chen, Changqing
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30
Trajectory tracking control for mobile robot based on the fuzzy sliding mode (EI CONFERENCE) 会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Xie M.-J.; Li L.-T.; Wang Z.-Q.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文
2007 IEEE International Conference on Robotics and Biomimetics, ROBIO, December 15, 2007 - December 18, 2007, Yalong Bay, Sanya, China
Zhang R.-H.; Wang R.-B.; You F.; Jia H.-G.; Chen T.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
The guiding principle and composition of CyberCar based on machine vision was introduced. Applying IM sequence signals as input response signals and least squares method to establish the dynamic equation for CyberCar steering system by system identification experiments firstly  and then combined with the preview kinematics model and two-degree steering dynamic model of vehicle. Therefore  it can trace the path steadily and reliably. 2008 IEEE.  the steering control mathematics model based on preview kinematics for CyberCar was established. And then the switching hyper plane is designed by applying the optimal control theory  during the change of the curve curvature radius is little  the curve tracking of the intelligent vehicle is carried out by adopting sliding variable structure controller. Aim at the parameter uncertainty of tire  a vehicle steering system uncertain model was founded and analyzed. A H optimal controller is designed with the method of H control theory to solve the problem about model uncertainty. The simulation and experiment results show that the controller designed by the proposed method has good robustness and adaptability  
Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.
收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25
State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform  visual guidance intelligent vehicle JLUIV-5  is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system  and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model  and two-degree steering dynamic model of vehicle  the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results  carry out in Jilin University Nanling Campus and Culture Center of Jilin Province  show that the image identify algorithms  and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain  it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.  
Parallel force/position controllers for robot manipulators with uncertain kinematics 期刊论文
2005
Huang, C. Q.; Shi, S. J.; Wang, X. G.; Chung, W. K.; 黄春庆
收藏  |  浏览/下载：2/0  |  提交时间：2013/12/12
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs 会议论文
2010
作者:  Hutchinson,S.;  Candido,S.;  Davidson,J.
收藏  |  浏览/下载：3/0  |  提交时间：2020/01/04

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