shuzhi

3维拓扑优化计算算法，可用于初级拓扑优化学习和在此基础上进行拓展(3 d topology optimization algorithm can be used for primary topology optimization learning and expansion on this basis)

This is the Multi task BCI Code including mt_gauss, mt_regression and test_err_linreg.

基于PCA算法的matlab源代码，适合初学者，可以快速学习PCA方法(Based on PCA algorithm matlab source code, suitable for beginners, you can quickly learn PCA methods)

萤火虫算法（Firefly Algorithm）是一种群智能优化算法，它是英国的学者在2008年提出的，其本质是利用萤火虫在觅食和信息交汇中的一种仿生算法。( Firefly Algorithm (Firefly Algorithm) is a swarm intelligence optimization algorithm, which is a British scholar proposed in 2008, and its essence is to use the firefly in the convergence of information and foraging in a bionic algorithm.)

《MATLAB实用教程---控制系统仿真及应用》的配套光盘，不但便于读者使用，而且给任课老师提供了生成数量不限的 练习题的功能，便于因人施教。(" MATLAB tutorial--- practical control system simulation and application of" matching discs, readers not only easy to use, but also to the classroom teacher provides a unlimited number of exercises build functional, easy to teach from person to person.)

Voice recognition LPC VS MFCC with K-NN

是一个很好的kalman程序包，其中包括几个实例和仿真，而其有详细的解释说明。(Kalman is a good package, which includes several examples and simulation, and its detailed explanation.)

用matlab求解LMI示例，帮助掌握求解LMI的方法，可运行实现(LIM solution via matlab simulation)

说明：  rls算法去噪作业了解RLS算法并能简单运用RLS算 法进行一些处理。(RLS algorithm denoising)

先进 PID 控制及其 MATLAB 仿真（教材+相关程序） 刘金琨 著 电 子 工 业 出 版 社 内 容 简 介 本书从 MATLAB 仿真角度系统地介绍了 PID 控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分十章，包括连续系统和离散系统的 PID 控制，常用数字 PID 控制，专家 PID和模糊 PID 控制，神经 PID 控制，遗传算法 PID 控制，多变量解耦 PID 控制，几种先进的PID 控制，灰色 PID 控制，伺服系统 PID 控制，PID 实时控制，每种方法都通过 MATLAB 仿真程序进行了说明。本书各部分内容既相互联系又相互独立，读者可根据自己需要选择学习。本书适用于从事生产过程自动化、计算机应用、机械电子和电气自动化领域工作的工程技术人员阅读，也可作为大专院校工业自动化、自动控制、机械电子、自动化仪表、计算机应用等专业的教学参考书。(advanced PID control and MATLAB (materials related procedures) with the electronics industry, Hangzhou Press Description of the book from the perspective of MATLAB simulation system introduced PID control of the basic theory, Basic methods and techniques, is the author of control systems for years to teaching and research work at the crystallization Meanwhile at home and abroad into the peer in recent years has made new achievements. The book is divided into 10 chapters, including discrete and continuous system of PID control system, commonly used digital PID control, Expert PID and fuzzy PID control, neural PID control, genetic algorithm PID control, Multivariable decoupling PID control, several advanced PID control, gray PID control, PID control servo system, PID control in real time, ea)