中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
数学与系统科学研究院 [1]
自动化研究所 [1]
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OAI收割 [4]
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小型无人直升机动力学建模、辨识及鲁棒飞行控制系统设计与优化研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:
王晓东
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浏览/下载:205/0
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提交时间:2015/09/02
小型无人直升机
数学建模
预报误差法
飞行控制系统
H∞回路成形
多目标优化
MOGA-II
small-scale unmanned helicopters
mathematical modeling
prediction error method
flight control system
H∞ loop shaping
multi-objective optimizatio
MOGA-II
Method of improving the accuracy of image motion measurement for panoramic aerial cameras (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Jia P.
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浏览/下载:25/0
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提交时间:2013/03/25
To improve the accuracy of image motion measurement for panoramic aerial cameras
the paper proposed a method of real-time image motion measurement based on 2D spatial correlation. An auxiliary area CCD is positioned paralleled to the main linear TDI CCD in the focal plane of the camera. For every frame of the image sequence taken by the auxiliary CCD
a prediction on the displacement of the current image in the flight direction is made based on the forward image motion velocity. The current and the reference images are combined together for 2D-correlation
which products an image motion vector. By decomposing the vector
both the forward and pendulum-swing image motions can be determined. The demanding computational requirements for the real-time 2D-correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 Copyright SPIE - The International Society for Optical Engineering.
Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:
Wang J.-J.
;
Guo L.-H.
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浏览/下载:32/0
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提交时间:2013/03/25
Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone
the forecasting data will be used to acquire the target. While orbit prediction has serious errors
the target is always missed. Meanwhile
in its application to the vehicle-borne tracking and position device
due to the base of instability in the tracking process
it will result in significant difference between predicting data and tracking data
so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method
and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.
Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach
期刊论文
OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 1, 页码: 1-19
作者:
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浏览/下载:21/0
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提交时间:2018/07/30
artificial neural networks
error-correction vector auto-regression
foreign trade prediction
hybrid ensemble learning
kernel-based method
support vector regression
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