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Oreilly.Learning.XML.2nd.Edition.eBook-LiB.chm XML 的帮助文档-Oreilly.Learning.XML.2nd.Edition.eBook-LiB.chm XML help files

仓库管理系统实现,包括登录及查询等功能。(cangkuguanlixitongshixian)

只想下载 只想下载 只想下载 只想下载-Just want to download just want to download just want to download just want to download just want to download just want to download just want to download

实现opc接口，连接opc server服务器。 将数据加入到数据库里面-Interface to achieve opc, opc server to connect server. Data added to the database

说明：  Freescale BLDC demo for KE04

多个雷达间坐标转换，极坐标和直角坐标转换(Coordinate conversion between different radars, polar coordinates and Cartesian coordinates)

说明：  tcl scripts for 50 nodes

delphi 怎样在数据表中调整记录指针的位置的源码实例，源代码运行于Delphi7环境，有兴趣的可下载测试。有兴趣可参考以下核心代码： 　　procedure TFrmOrderBy.FormShow(Sender: TObject); 　　begin 　　 ADODataSet1.Active := false; 　　 ADODataSet1.Active := true; 　　end; 　　procedure TFrmOrderBy.BtnCloseClick(Sender: TObject); 　　begin 　　 Close; 　　end; 　　procedure TFrmOrderBy.Button1Click(Sender: TObject); 　　var 　　 No: Integer; 　　begin 　　 No := StrToIntDef(Edit1.Text, 1); 　　 ADODataSet1.MoveBy(No); 　　end;

针对风电等间歇性电源大规模并网后，系统在满足安全性和 可 靠 性 的 前 提 下 自 动 发 电 控 制系统调节速率和调节精度的协调性问题，将基于分布式模型预测控制算法引入自动发电系统，该算法提高了自动发电系统调节速度和调节精度之间的协调性，可有效平抑大规模风电接入带来的系统频率波动和联络线功率偏移，为改善自动发电系统性能提供了新的思路。(After the large-scale grid connection of intermittent power supply such as wind power, the coordination problem of the adjustment rate and adjustment precision of the automatic power generation control system is satisfied under the premise of satisfying the safety and reliability, and the distributed model predictive control algorithm is introduced into the automatic power generation system. The algorithm improves the coordination between the adjustment speed and the adjustment precision of the automatic power generation system, and can effectively suppress the system frequency fluctuation and the tie line power offset brought by large-scale wind power access, and provides a new idea for improving the performance of the automatic power generation system. .)

说明：  因子图优化最好的后端优化库之一，结构清晰，代码简洁易懂，很不错。(Factor map optimization is one of the best back-end optimization libraries, with clear structure, simple and easy to understand code, which is very good.)