双馈风力发电系统的建模仿真与控制

先进PID控制及仿真中第六章仿真程序的代码，对学习该课程和毕业设计都非常有帮助。(advanced PID control and simulation of Chapter VI of the simulation program code, on learning of the course and graduate design are very helpful.)

自适应动态阈值分割 matlab实现，example： i=imread（ xxx ） thresh-tool(i) (Adaptive Dynamic threshold segmentation matlab realize, example: i = imread (xxx) thresh-tool (i))

说明：  C语言从入门到精通，本书主要面向零基础读者，用实例引导读者学习，深入浅出地介绍C语言的相关知识和实战技能。 本书第Ⅰ篇“基础入门”主要讲解C语言概述、C程序开发环境和开发步骤等；第Ⅱ篇“基础知识”主要讲解C语言基本语法、良好的编程习惯、数据的输入和输出、结构化程序设计、数组、模块化设计——函数等(From entry to proficient in C language, this book is mainly for zero-based readers, using examples to guide readers to learn, and explain the relevant knowledge and practical skills of C language in a simple way. The first "Basic Introduction" of this book mainly explains the overview of C language, C program development environment and development steps; the second "Basic Knowledge" mainly explains the basic grammar of C language, good programming habits, data input and output, structure Modular programming, arrays, modular design-functions, etc.)

计算机故障排除方法，很有用的电子书，不错的教程。(Computer troubleshooting methods, useful e-books, good tutorial.)

FXTM Ebook 8 Vietnamese

说明：  经典的C语言程序设计（第四版）谭浩强主编。Ｃ语言是在 70 年代初问世的。一九七八年由美国电话电报公司(AT&T)贝尔实验室正式发表了Ｃ语言。(Classic C programming (Fourth Edition) edited by Tan Haoqiang. C language came into being in the early 1970s. In 1978, C language was officially published by Bell laboratory of at & T.)

ANSYS详细的中文帮助-用于Fluent初学者(ANSYS detailed Chinese help)

说明：  本书作为正式教材和自学用书均非常优秀，作为程序设计者的参考用书亦极为合适，需要的同志，赶快下吧(the book as an official self-learning materials and books are excellent, as a procedural designers reference book is also very suitable to the needs of comrades, where it quickly)

说明：  基于核主成分分析法的GA_BP神经网络短期用电负荷预测，很不错的文章研究遗传算法，BP神经网络，核主成分(GA_BP Neural Network Based on Kernel Principal Component Analysis (KPCA) for short-term load forecasting. This paper studies genetic algorithm, BP Neural Network and Kernel Principal Component.)

方法介绍，原理，应用，适用范围，适用lattice-boltzmann初学者(Books on Lattice Boltzmann Method Simulation Method Introduction, Principle and Application)