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Housing-industry transformation development and rural revitalization path based on complex adaptive system in Three Gorges Reservoir Area of China 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 162, 页码: 112008
作者:  
Qu, Lulu;  Wang, Jingyi;  Li, Yurui
  |  收藏  |  浏览/下载:14/0  |  提交时间:2024/06/17
A Novel Synchronization Protocol for Nonlinear Stochastic Dynamical Networked Systems 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2676-2686
作者:  
Gu, Haibo;  Wang, Xiong;  Liu, Kexin;  Lu, Jinhu
  |  收藏  |  浏览/下载:40/0  |  提交时间:2021/06/01
Augmented planning support system framework for mountainous urban master planning 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 4, 页码: 973-991
作者:  
Sun Xiao-tao;  Xu Jian-gang;  Wang Zhen-bo
  |  收藏  |  浏览/下载:18/0  |  提交时间:2020/05/19
Augmented planning support system framework for mountainous urban master planning 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 4, 页码: 142453
作者:  
Sun Xiao-tao;  Xu Jian-gang;  Wang Zhen-bo
  |  收藏  |  浏览/下载:18/0  |  提交时间:2020/11/12
A quantitative description of complex adaptive system: The self-adaptive mechanism of the material purchasing management system towards the changing environment 期刊论文  OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2016, 卷号: 29, 期号: 1, 页码: 151-170
作者:  
Zhang Meng;  Cui Jinchuan
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/07/30
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:111/0  |  提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system  the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms  such as adaptive background prediction detecting method. When background has dispersion-decreasing structure  the traditional target detection algorithms would be more useful. But when the background has large gray gradient  such as sea-sky-line  sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature  in our opinion  from the perspective of mathematics  the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis  the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection  its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore  the purpose of the image preprocessing is to reduce the effects from noise  also to raise the SNR of image  and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics  the median filter is used to eliminate noise  improve signal-to-noise ratio  then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line  so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Adaptive sliding mode control for airborne Opto-Electronic platform servo system (EI CONFERENCE) 会议论文  OAI收割
7th International Conference on Machine Learning and Cybernetics, ICMLC, July 12, 2008 - July 15, 2008, Kunming, China
Wang C.-X.; Liu J.-H.; Shen H.-H.; Dai M.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
The novel presents an adaptive reaching law sliding mode controller to slove a class of uncertain systems.The Airborne Opto-Electronic Platform sliding model is employed to represent a class of complex uncertain system. The control is based on reaching law control. Discrete time implementation of the sliding mode control strategy is considered in the paper  since it is more appropriate for practical applications. It is shown that the robustness of the sliding mode control method is constrained by sampling time. Design of the adaptive reaching law based on a discrete expotential reaching law concept is given  which to design a new sliding mode controller based on Lyapunov stability theory. The global asymptotic stability is guaranteed. An example with simulation results is given to illustrate the effectiveness of the proposed method. 2008 IEEE.