PSO

This is a very good introductory book on Matlab

ipv4过渡到ipv6的一些技术分析，希望对大家有用(ipv4 transition to ipv6 some of the technical analysis, hope for all of us)

在电力市场改革的过程中，出现了许多新的问题：网络潮流的分布主要由电力交易 的分布所决定，电力交易以追求最大利润为目标，于是出现了电力系统中输电价格较低 的线路或电能价格较低的发电机组周围的线路负荷过重，从而增加了发生阻塞的可能 性。本文就电力市场中输电阻塞管理的办法以及阻塞费用的计算进行了讨论。(the electricity market reform process, the emergence of many new issues : the trend of the distribution network mainly by the distribution of power transactions by the decision to pursue electricity transactions for maximum profit, so a power system transmission lines with lower prices or lower the price of electricity generating units around the line overloading, thereby increasing the possibility of obstruction occurred. This paper on the electricity market transmission congestion management methods as well as obstruction of calculating the fees were discussed.)

里面是几个小波构造的程序，Daubechies小波基的构造，采用多孔trous算法(undecimated wavelet transform)实现小波变换 。(inside several wavelet construction procedures Daubechies wavelet construction, using porous trous algorithm (undecimated wavelet transform) achieve wavelet transform.)

使用matlab实现模糊控制算法对二阶系统的控制(Matlab fuzzy control algorithm using second-order control system)

说明：  本源代码可以对提取的光强度信息转换为频域信息，可以做分析之用(Origin of the code can be extracted light intensity information is converted to frequency domain information and analysis can be done with)

Generate an hexagonal network with a free space pathloss model

说明：  正态总体参数的检验,调用ztest和ttest函数(Inspection normal population parameters)

chen分数阶的吸引子仿真，很容易实现的，希望可以帮助你。一起学习混沌吧。(chen fractional attractor simulation, it is easy to achieve, I hope you can help. With learning chaos.)

说明：  使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)