hl-20

一维FDTD计算电磁散射的MATLAB源码(1D-FDTD code for the simulation of electromagnetic scattering problems)

M_sequence Generator

NADAV LEVANON 与 ELI MOZESON 写的一本关于雷达信号分析非常专业并且经典的书。里面有很多的 matlab 相关资料。(Written by NADAV LEVANON ELI MOZESON a radar signal analysis is very professional and classic books.There are many Matlab codes inside.)

matlab安装方法和序列号，值得拥有.免得大家去找了，可以参考( matlab installer ways and license)

horner algorithm for matlab uses

基于PQ控制的微网系统逆变器电源建模仿真鱼研究(Fish simulation system based on micro-grid power inverter control modeling PQ)

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温度系统。本文是将多步预测控制算法运用到温度系统。应用控制软件采用北京亚控公司的组态王软件(KingView),它界面设计能力强,也可以简单编程,但计算能力差,不能进行矩阵计算。而在温度多步预测控制中,计算量大,编程复杂,因此引入Matlab软件解决计算和编程,要解决的问题是MATLAB和组态王的数据交换,采用动态数据交换技术(DDE)。 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。(Predictive control is one of a new control algorithm. The classic PID control method is simple, but the accuracy is not high. In recent years the development of adaptive, self-calibration method is accurate, but its object model online identification of the essential requirements of the process unmodeled dynamics and disturbances poor adaptability, robustness is not good. Prediction and adaptive PID control method sets the length of the two methods is a feature for industrial processes, low requirement on the model, online convenience of calculation, the control algorithm for high accuracy. Digital computers to small, high-speed, large capacity, lower costs of development, such as predictive control implementation of the new algorithm provides the material base. In this paper, PCT-Ⅲ type of process control system devices as a platform, the predictive control algorithm to apply to the actual system, the device is divided into water system and temperature system. This is a multi-step pre)

自由空间光通信系统在大气湍流信道下的3个主要性能指标分析，即平均误码率、中断概率和平均信道容量。其中大气湍流采用gamma-gamma湍流信道衰退模型。3个M文件为平均误码率与平均信噪比之间的关系(BER_SNR.m)，中断概率(OutageP.m)，以及平均信道容量与平均信噪比之间的关系（C_SNR.m）。程序可直接运行。(The analysis of 3 key performance indicators of Free-Space Optical communication system in atmospheric turbulent channel, namely the average bit error rate, outage probability and the average channel capacity. The atmospheric turbulence is modeled by the gamma-gamma turbulent channel fading model. Three M-files are the relationship between the average bit error rate and the the average SNR (BER_SNR.m), outage probability (OutageP.m), the relationship between the average channel capacity and the average SNR (C_SNR.m).The programs can run directly.)

首先是针对无或单失效数据情形下，通过多层贝叶斯估计法得到失效概率过后，给出了寿命分布参数的加权最小二乘估计。然后如果失效数据不止一个，使用乘积限估计法来得到失效概率的估计值。(Firstly, the weighted least squares estimation of the life distribution parameters is given by the multi-layer Bayesian estimation method after the failure probability is obtained for the case of no or single failure data. Then if the failure data is more than one, the product limit estimation method is used to obtain the estimated value of the failure probability.)