Chapter7

本书是《最优控制理论和方法》，书中详细介绍了系统最优化的理论及系统设计。(The book is optimal control theory and methods , the book details the theory of system optimization and system design.)

精通MATLAB 7 课本代码 读者可根据文件夹名找到相应章节的实例。每章的实例均已经通过了实际调试。(Proficient in MATLAB 7 textbook code)

C#实例程序源码，是初学者学习的很好的例子。(C# example program source code, is a good example for beginners to learn.)

说明：  机器学习实战，python源码，KNN,决策树等实现(Machinie Learning IN ACTION)

MIMO Rayleigh fading Capacity

外汇网格交易源码，提供给大家，于大家一起学习(Foreign exchange grid transaction source code)

说明：  包含《matlab神经网络30个案例分析》这本书的数据和程序(Contains data and programs)

《深入浅出Python机器学习》源码 ipynb格式("Deep and Simple Python Machine Learning" Source Code ipynb Format)

不错的自制示波器资料。适合个人学习和DIY。主控IC为（STM32F103Zet6）。（备注：个人收藏资料）(Good homemade oscilloscope information. Suitable for personal learning and DIY. Master IC is (STM32F103Zet6). (Note: personal collection))

说明：  本书采用案例形式，以智能算法为主线，讲解了遗传算法.免疫算法,退火算法.粒子群算法，鱼群算法,蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现，本书共给出30个案例,每个案例都是一个使用智能算法解决问题的具体实例,所有案例均由理论讲解、案例背景.MATLAB程序实现和扩展阅读四个部分组成,并配有完整的程序源码。(This book uses case form and takes intelligent algorithm as the main line to explain the matlab implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealing algorithm, particle swarm optimization algorithm, fish swarm algorithm, ant colony algorithm and neural network algorithm. There are 30 cases in this book, and each case is a specific example of using intelligent algorithm to solve problems, All cases are composed of theoretical explanation, case background, matlab program implementation and extended reading, and complete program source code.)