用python爬虫抓站的一些技巧总结

本书结合作者的研究工作，详细介绍了基于线性矩阵不等式的不确定系统鲁棒控制的概念、理论及设计方法。主要内容包括目前应用广泛的线性矩阵不等式的概念、理论、算法及相关软件；基于线性矩阵不等式处理方法的线性时不变系统性能分析和综合方法；重点介绍了不确定系统的模型、鲁棒性能分析、鲁棒H2/H∞控制、LMI区域及相应的区域极点配置方法、结合二次型性能指标的保性能控制、鲁棒方差控制等。 (This book combines the author' s research work, described in detail based on the linear matrix inequalities robust control of uncertain systems of concepts, theories and design methods. Including the current application of the main contents of a wide range of linear matrix inequalities of the concepts, theories, algorithms and related software treatment based on linear matrix inequalities linear time-invariant system performance analysis and synthesis methods focuses on the uncertain system model, Robust performance analysis, robust H2/H ∞ control, LMI region and the corresponding regional pole placement method, combined with quadratic performance index of the guaranteed cost control, Robust variance control.)

说明：  模型预测控制，轨迹跟踪，自动驾驶控制，双移线工况，横纵向控制(Model predictive control, trajectory tracking, automatic driving control, double line shifting conditions, horizontal and vertical control)

插电式混合动力汽车用动力蓄电池探析，插电式混合动力是现在新能源汽车发展的重点，本文对相关领域的人有一定的参考价值(Plug-in hybrid electric vehicle battery power Analysis, plug-in hybrid is now the focus of the development of new energy vehicles, this paper related fields who have a certain reference value for)

说明：  2007年硕士论文，基于混沌的数字图像和视频加密算法研究(Master' s thesis in 2007, based on the chaos of the digital image and video encryption algorithm)

雷达原理（第三版）丁鹭飞，雷达研究领域经典的基础类教材。文件包括各章的PPT以及PDF格式的电子全书。方便快速查阅和仔细研读相关知识。(The book, Radar Principles (3rd edition) by Ding Lufei, is a classical fundamental teaching material in the field of Radar research. The package includes PPT file of each chapter and the detailed e-book in pdf-format, which is very convnient for fast looking for or close reading up related knowledge.)

科学出版社出版，数学故事，让数学不再枯燥(Science Press, math story, so math is no longer boring)

这是浙大鲍虎军教授演讲的纹理映射技术，内容十分详细。(This is Professor of Hu-Jun Bao Zheda speech texture mapping techniques, very detailed.)

EMIEMC 设计讲座3，值得学习的好资料(emi)

说明：  《Python网络数据采集》 第一部分　创建爬虫 第1章　初见网络爬虫 2 1．1　网络连接 2 1．2　BeautifulSoup简介 4 1．2．1　安装BeautifulSoup 5 1．2．2　运行BeautifulSoup 7 1．2．3　可靠的网络连接 8 第2章　复杂HTML解析 11 2．1　不是一直都要用锤子 11 2．2　再端一碗BeautifulSoup 12 2．2．1　BeautifulSoup的find()和findAll() 13 2．2．2　其他BeautifulSoup对象 15 2．2．3　导航树 16 ……(Python Network Data Acquisition)

Pattern_Recognition_4nd _CH4-solution