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	Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system 期刊论文 OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2015, 卷号: 42, 期号: 14, 页码: 5932-5946 作者: You, F (You, Feng); Zhang, RH (Zhang, Ronghui); Lie, G (Lie, Guo); Wang, HW (Wang, Haiwei); Wen, HY (Wen, Huiyin) 收藏 \| 浏览/下载：67/0 \| 提交时间：2015/07/11 Trajectory planning Tracking control Backstepping method Advanced driver assistance systems Intelligent vehicles Cooperative vehicle infrastructure system
	基于ACP的智能交通系统云服务平台研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者: 李双双收藏 \| 浏览/下载：112/0 \| 提交时间：2015/09/02 智能交通系统平行系统理论 ACP 云计算 Hadoop 交通流预测控制代理 Intelligent Transportation Systems Parallel System Theory ACP Method Cloud Computing Hadoop Traffic Flow Forecasting Control Agent
	A New Design of Large Aperture Telescope Drive System 会议论文 OAI收割 Changchun, China, 2011-6-17 作者: Wang Daxing; Zhang Zhenchao; Li Xiaoyan 收藏 \| 浏览/下载：36/0 \| 提交时间：2014/01/09 drive system permanent magnetic alternating current motor segment motor large aperture telescope intelligent control method Muti-motor synchronizing
	Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China Xu W.; Jin G. 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/03/25 Optimizing the control mode of optical payload could improve the payload's work efficiency. When the mathematic model of payload's control mode was established optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately the algorithm established the populations independently made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily . It has the characters that not only fits large scale area scout but also gets the best value in full scale rapidly so this algorithm can better satisfy the technology demand for the intelligent control of optical payload. 2009 IEEE.
	Application research of intelligent algorithm in electric-driven flight simulation turntable (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Xie M.-J.; Wang Z.-Q.; Wang L.-M. 收藏 \| 浏览/下载：56/0 \| 提交时间：2013/03/25 Application Research of Intelligent Algorithm in Electric-driven Flight Simulation Turntable is discussed in this paper. Fuzzy control is used to solve the problem of fast tracking and overshoot since its essence belongs to PD control In order to improve the performance of system in low speed a method named variance-gain adaptive algorithm is introduced in this paper. It defines the amplifier gain as a function whose independent variable is speed so the amplifier gain can automatically be adjusted with the change of speed. When the turntable runs at low speed it has a big amplifier gain a good rigidity and high tracking accuracy. When the turntable runs at high speed the method can control the amplifier gain and ensure the system dynamic performance. Design and implementation of these algorithms is introduced in detail. Experiment results show that the Flight Simulation Turntable has achieved the required performance through using fuzzy control algorithm and variance-gain adaptive algorithm. 2008 IEEE.
	Study on navigation control method for CyberCar based on machine vision (EI CONFERENCE) 会议论文 OAI收割 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：43/0 \| 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 OAI收割 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：33/0 \| 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.