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PUMA-nonlinear-control

于 2021-03-21 发布文件大小:242KB

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代码说明：

四旋翼无人机sliding mode backstepping代码(Four-rotor UAV sliding mode backstepping code)

文件列表：

PUMA nonlinear control
......................\aerolibutil.mdl,57520,2003-07-26
......................\backstepping_control.mdl,1349623,2008-04-20
......................\ctc_control.mdl,1341097,2008-04-06
......................\lorenz3d.mdl,36078,2005-04-24
......................\m3dscope.mdl,12581,2005-04-19
......................\R1 PUMA robot Dynamics send to onder hoca.doc,310272,2008-11-19
......................\sfunxyz.m,12420,2005-04-18
......................\sliding_mode_control.mdl,1657783,2008-04-18

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this is very cool for camera interfacing

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adboost算法的一个例子。在Kearns和Valiant在1989年大作中指出了这种算法的可行性。而后，Freund在 1990年以及他和Schapire在 1994-1996年提出了boosting整个算法思路，似乎这种算法走到了实际应用的开端。然而直到AdaBoost被viola在其人脸识别系统中运用(2001Viola和 Jones)，这种方法才彻底开始暴火.(An example adboost algorithm. Kearns and Valiant pointed at the feasibility of this method in 1989 masterpiece. Then, Freund and Schapire he made in 1990 and in 1994-1996 the idea of boosting the entire algorithm, this algorithm seems to come to the beginning of the practical application. However, until the use of AdaBoost is viola (2001Viola and Jones) in its face recognition systems, this approach was completely start a fire storm.)

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本文介绍了两种新的图像增强算法:一种是基于模糊嫡的图像滤波器，另一种是改进的模糊松弛迭代增强算法。前者将图像分为若十窗日，分别计算每个窗日关于不同模糊集的模糊嫡，根据最小模糊嫡原则，确定该窗日中心灰度的大小，该方法充分利用了图像窗日中像素的区域信息。 (This paper introduces two new image enhancement algorithm: one is based on fuzzy entropy image filters, another improved fuzzy relaxation iterative enhancement algorithms. The former image into the ten windows day, the date of each window on different fuzzy sets fuzzy entropy, were calculated according to the minimum fuzzy entropy principle, determine the size of the window day center gray, full use of the Japan-China pixels of the image window region information.)

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2020-07-20 09:58:46下载

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PUMA-nonlinear-control

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