PIDcontroler

为NS初学者提供的讲座，英文版，是NS入门学习的得力资料。对与初学者来说，如果直接从NS手册来学习，会感觉无头绪，希望这个资料能对你有所帮助(NS Simulator Course for Beginners)

"Think python" - Good book about Python.

力扣网面试题答案，源码，供大家参考参考，祝大家面试顺利(The answer to the interview questions on the Internet, source code, for your reference, I wish you a smooth interview.)

说明：  本书提供了快速绘制高质量图形的150多种技巧，每个技巧用来解决一个特定的绘图需求。读者可以通过目录快速定位到自己遇到的问题，查询相应的解决方案。(This book provides more than 150 techniques for quickly drawing high quality graphics, each of which addresses a specific drawing requirement. Readers can quickly locate their own problems through the directory, query the corresponding solution.)

说明：  notes on optical fibre communication

论文四参数正弦波曲线拟合的快速算法，文中给出算法及算法实现程式(Papers four-parameter sine wave curve fitting of the fast algorithm, the text is given algorithm and algorithm programs)

梁肇新的<编程高手箴言>，程序员必读()

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.)

Matlab神经网络工具箱应用简介,详细说明MATLAB中神经网络工具箱如何使用,对新手极有帮助(Matlab neural network toolbox application profiles, detailed description MATLAB neural network toolbox how to use the new hands will be very helpful)

python核心编程，本书详细介绍了python编程的语法结构，并有大量的例子作为参考。(python core programming, the book details the python programming grammatical structure, and there are plenty of examples as a reference.)