Rfirst

说明：  用于舵机控制板，驱动六轴机械臂，与上位机通信(Used for steering control board, driving six-axis manipulator, communicating with upper computer)

说明：  在船舶有风浪干扰下的航向保持控制器设计，干扰为五级风浪流，最终效果良好(The design of course-keeping controller under the disturbance of wind and wave on the ship. The disturbance is five-stage wind and wave, and the final effect is good.)

erilyAlertDialog 是由Herily[虚拟名]研究android对话框源码后的结晶，继承自AlertDialog并根据需要重写了部分代码，使其能满足自己所需要的风格的对话框。你可以像使用AlertDialog一样的使用HerilyAlertDialog。你也可以直接使用HerilyAlertDialog来直接替换已有项目中的AlertDialog而不需要做任何修改。 2.如果你想更换对话框风格，你可以替换掉drawable-hidp中对应的.png图片资源即可。 3.建议配置成双选择形式来使用(通过配置文件或者某一个定向变来空控制到底使用哪一种对话框)(Erily Alert Dialog is the crystallization of the Android dialog source code studied by Herily [virtual name]. It inherits from Alert Dialog and rewrites part of the code according to the need to make it meet the style of dialog box it needs. You can use HerilyAlert Dialog as you would use Alert Dialog. You can also use HerilyAlert Dialog directly to replace Alert Dialog in existing projects without any modifications. 2. If you want to change the dialog style, you can replace the corresponding. PNG image resources in drawable-hidp. 3. It is recommended to configure the dialog box in a double-choice format (to control which dialog box to use by configuring a file or a directional variable))

说明：  击图片旋转效果，图片叠加轮播效果，图片叠加轮播旋转切换代码。(Click on the image rotation effect, the image superimposed rotation effect, the image superimposed rotation switching code.)

微网光伏发电中下垂控制电能质量的输出控制。改善嗲能质量(windows matlab one we)

Adaptive control of induction motor model

这是我业余做的一个学单车的小游戏，由于没有美工，图片用简单线条代替，需要安装directX，具体操作简单，游戏界面有介绍-This is my amateur done a study of small motorcycle games, in the absence of artists, pictures replaced with a simple lines need to install directX, the specific operation of a simple game interface is introduced

浙江大学ppt课件。讲解几何数据压缩的一些相关技术。对于学习着很有用处。(Zhejiang University Courseware ppt. Data compression on the geometry of some related technologies. For a very useful study.)

c++提示扩展工具代码-c prompt expansion tool code

说明：  python编写，使用sklearn机器学习库里的svm分类器，以MNIST为数据集，手动输入数字分类，MNIST.py为训练代码，训练10000次准确率为93.93%，手动3.py为手动输入并分类的代码。(Written in Python, using the svm classifier in the sklearn machine learning library, using MNIST as the data set, manually input the numeric classification, MNIST.py is the training code, the accuracy of training 10000 times is 93.93%, manual 3.py is manually entered and classified Code.)