RS_BCH

使用IMM（交互式多模型）跟踪平面内匀速直线运动和协调转弯组合的机动目标(tracking CV and CT target by using IMM model)

说明：  matlab 灰度预测模型，实现数据的预测(matlab grey model predict)

一种结合PSO及改进BP网络的辨识方法 很好的微粒群应用算法辨识效果很好(A combination of PSO and the improved BP network identification method of application of particle swarm algorithm is a very good very good identification results)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

个人编写的应用于机械行业的arx开发函数，足够用的(Individual applications written in the mechanical industry ARX development function)

用matlab的simulink环境下搭建的光伏发电仿真模型，内含三个simulink文件，解压后直接运行(PV simulation model used to build the next matlab simulink environment, containing three simulink file, run directly after decompression)

LTE and LTE-A uplink simulater

A typical example of using the dSPACE system for electrical drives simulations is described in [9] and for wind energy conversion systems (WECS) in [10]. However, before the real-time implementation, the Control part has to be validated by simulation using a plant model. This model could be developed using either the Simulink transfer functions or the PLECS toolbox.

matlab经典程序设计变量基本运算法教程matlab classic programming variable tutorial basic algorithms(matlab program design variables classic basic algorithms tutorial matlab classic programming variable tutorial basic algorithms)

是一些网络相关的资料，对于学习很有帮助。有帮助就下载(good erythrocyte)