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RBF-ARX model-based fast robust MPC approach to an inverted pendulum. 期刊论文
ISA transactions, 2019
作者:  Xiaoying Tian;  Hui Peng;  Feng Zhou;  Xiaoyan Peng
收藏  |  浏览/下载：15/0  |  提交时间：2019/12/17
Smith Predictor Based ∞ Control for Piezoelectric Nano Stages with Time Delays 会议论文
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
作者:  Zhang, Z.;  Yan, P.
收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30
Optimizing the Segmentation Granularity for RTB Advertising Markets with a Two-stage Resale Model 会议论文
Budapest, Hungary, Oct. 9-12, 2016
作者:  Qin, Rui;  Yuan, Yong;  Li, Juanjuan;  Wang, Fei-Yue
收藏  |  浏览/下载：15/0  |  提交时间：2018/01/04
配电线路雷电感应过电压真型试验研究 期刊论文
2016, 2016
刘宇; 余占清; 黄颖; 王泽众; 曾嵘
收藏  |  浏览/下载：4/0
Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
Wu Z.-G.; Wang M.-J.; Wang Y.-Q.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.  
Kalman filter for pointing deviation delay compensation in a TV tracker (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Juan C.; Wang Q.-P.; Jian C.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T.
收藏  |  浏览/下载：59/0  |  提交时间：2013/03/25
In the transportation monitor system  we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that  motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately  the arithmetic proposed in the paper can suppress shadow availably  we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter  detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.  and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle  we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering  
Modeling and analysis of dialyte-lens auto-focusing technology for theodolite (EI CONFERENCE) 会议论文
2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, November 16, 2008 - November 19, 2008, Beijing, China
Wu L.-T.; Qiao Y.-F.; Wu D.-K.; Cai S.
收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25
In order to realize real-time auto-focusing for theodolite  lens-apart method was designed with the corresponding math model built and analyzed. An Object beam splitted after the first image surface of the theodolite traveled through two dialyte lens and then was imaged on CCD. The distance between two spots when exactly focused was set as the calibration value  and the relationship between defocus distance and spot offset was given. The influence of tracking center shift and divergence angle etc. on focusing accuracy was analyzed. Compared with the traditional focusing method  this scheme has a higher accuracy  faster calculation  higher tolerance for environment temperature and a simpler construction. The experiment result exhibited a resolution higher than 0.056mm  which shows a bright engineering application prospect for this method. 2009 SPIE.  
Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE) 会议论文
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：22/0  |  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.  

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