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说明：  一篇有关人脸识别的文章，是2010年在国外做访问学者时下载的，仅供大家参考(An article on face recognition, in 2010 a visiting scholar in foreign countries when downloaded only for your reference)

LYAPACK is a MATLAB toolbox for the solution of certain large scale problems in control theory, which are closely related to Lyapunov equations. In contrast to the lyap and dlyap command in the MATLAB Control toolbox it uses iterative algorithms and is intended for large, sparse problems.

一些常用的小程序，具有较高的可重用性。另外都可以运行。(Small number of commonly used procedures, have a high reusability. Also can be run.)

《MATLABSimulink通信系统建模与仿真实例精讲》IS95前向链路系统(" MATLABSimulink communications system modeling and simulation examples succinctly" IS95 link to the system)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

IMPLEMENTATION OF LQG CONTROLLER

说明：  脑电信号模式识别(EEG pattern recognition)

关于Matlab学习的教程PPT，非常适用(Matlab tutorial on learning PPT)

用matlab 编写的 ，目标做匀速和匀加速运动，使用强跟踪对其进行滤波(Prepared using matlab, goals do uniform and uniformly accelerated motion, the use of strong tracking filter them)