机构

• 长春光学精密机械与物... [1]
• 地球环境研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2016 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Risk Assessment of Indoor Formaldehyde and Other Carbonyls in Campus Environments in Northwestern China 期刊论文  OAI收割 AEROSOL AND AIR QUALITY RESEARCH, 2016, 卷号: 16, 期号: 8, 页码: 1967-1980 作者:  Lee, Shun Cheng;  Huang, Yu;  Ip, Ho Sai Simon;  Deng, Wen Jing;  Guo, Wei   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/10/26 Carbonyls  Indoor Pollution  Cancer Risk  University Campus   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：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.