Networked-Control-Systems_Theory-and-Applications

对复杂网络进行判定是否是连通图，输入参数是网络的邻接矩阵，如果是连通图，输出是1，如果不是，输出0.(directed or undirected graph)

说明：  该matlab程序是一个小波包消噪程序，去噪效果明显，新手可以学习下(The matlab program is a wavelet packet de-noising procedure, de-noising effect is obvious, the novice can learn under)

舵机扫频辩识，鲁棒控制器，加载系统流量阀，双阀扫频(The sweep frequency identification, robust controller, loading system flow valve, double valve sweep )

Support Vector Machine(SNM-RFE) in matlab

对数据进行按列分类统计，统计平均值、背景值、方差等(The data by columns classification statistics, statistical average, the background value, variance, etc.)

一种用ICA实现特征提取的matlab程序，很有用的哦(ICA achieving Matlab feature extraction process, a very useful oh)

正交频分复用，应用在水声通信中。正交频分复用，应用在水声中(Orthogonal frequency division multiplexing applications in underwater acoustic communications. Orthogonal Frequency Division Multiplexing, used in the sound of water)

低压配电网理论线损分析计算 本科论文 word版本(Low voltage distribution network analysis and calculation of theoretical line loss word version of the undergraduate thesis)

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

说明：  AR滤波器的标准程序，非常好用，可以试验下(AR filter is standard procedure, very easy to use, you can test under)