Chapter5

我收集到的智能控制作业，是关于模糊PID控制算法的，模糊算法和仿真框图均是基于smulink的，请大家多多执教。程序虽然简单，但对新手来说很实用。(I collected intelligent control operations on the fuzzy PID control algorithm, fuzzy algorithm and simulation block diagram are based on smulink, please everybody a lot of coaching. Procedure is simple, but very useful for novices.)

发表在外文会议上的很好的有关人工鱼群算法的文章(Meeting published in the foreign language a good article on artificial fish school algorithm)

无线通信系统中信道仿真（包括AWGN信道，瑞利衰落信道，频率选择性衰落信道）(For channel simulation of wireless communication systems (including AWGN, Rayleigh fading channel, frequency selective fading channel))

我写的简明MATLAB与VC++混合编程例子，附有说明文档(I wrote a simple MATLAB and Visual C++ programming examples with documentation)

This model simulate the voltage and current when have harmonic and flicker sources.

本文提出了一种采用六项余弦偶次幂窗三峰插值的算法来对电网谐波进行检测与分析。该算法通过分析电网信号加窗后傅里叶变换的频域表达式，利用谐波频点附近的三根离散频谱的幅值确定谐波谱线的准确位置，进而得到电网谐波的相关参数频率、幅值及相位的计算公式，最后再对其进行加权修正，从而进一步的提高检测的准确度和有效性。( this paper proposes an approach for power network harmonic detection and analysis based on six even order cosine window and triple-spectrum-line interpolation. Through analyzing the adding window signal fourier transform in the frequency domain expression, using amplitude of three discrete spectrum near the harmonic frequency point to determine the accurate position of the harmonic spectrum and get the calculation formula of related parameters of the power network harmonic such as frequency, amplitude and phase, the algorithm further enhances the accuracy and effectiveness by using weighted correction.)

协作分集通信中的一些子模块，包括CRC校验程序，卷积码编解码程序，QPSK调制解调程序(Diversity collaboration of a number of communication modules, including CRC checksum procedure, convolutional codes codec procedures, QPSK modulation and demodulation procedures)

Additive delay Linear matrix inequality simmulation

流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)

Function to simulate a crane and its load and strain