Matlab--cascade-control-

这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器(This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier)

介绍LIBSVM的函数，主要是FRUTO的改进版本的LIBSVM(introduce libsvm function)

几个matlab程序 包括：计算任意相交区域面积和电场的仿真实现(Several matlab programs include: the intersection area and in arbitrary Simulation of the electric field)

小生境遗传算法在函数优化中应用—自适应小生境递阶遗传算法(Niche Genetic Algorithm in function Optimization- adaptive niche hierarchy genetic algorithm)

说明：  射频噪声干扰，噪声调频干扰，噪声调幅干扰模式的仿真以及SAR成像的仿真实现(several jammming modes simulation; SAR imaging)

多变量PID控制的simulink仿真，用S函数(Multivariable PID control simulink simulation, with S function)

用matlab编写的用于解决tsp问题的源代码，代码本身不完善，有一点问题，上载用的是普通word文档形式。(using Matlab prepared for the settlement tsp the source code, the code itself imperfect, it is, on the use of ordinary word document form.)

说明：  matlab仿真延迟相乘法估计调制信号符号速率(matlab simulation multiplication delayed modulation signal symbol rate is estimated)

backstepping algorithm

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)