matlab03-05

说明：  现代通信系统第二版MATLAB 源代码，里面有大量的matlab编程(Modern communications system second edition MATLAB source, there are a lot of MATLAB programming)

适用于多自由度的在MATLAB环境下的源代码，适用于工程力学等学科分析与学习(degrees of freedom )

Extraire des maximas et minimas des signaux avec l axe temporel

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MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox.

运用Kalman滤波对飞机进行跟踪，三维机动跟踪的代码，效果还可以，建立的模型是线性的(use the method of Kalman filters to track a manuevering target,the result is good in 3-dimension axis.)

这是一个车辆仿真模型，总共6个自由度，车身两个，车轮四个(This is a vehicle simulation model, with a total of 6 degrees of freedom, two bodies and four wheels.)

This function removes random, high frequency noise originating from the electrodes. a) First, we use a simple low-pass filter. b) Second, we apply Donoho s method by writing the code. c) Third, we simply apply Matlab s thr function. It should be noted that the considered mother wavelet is Symmlet8.

说明：  The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。(FCM algorithm is a clustering algorithm based division, which makes the idea is to be divided among a cluster of objects with the greatest similarity, but the similarity between different clusters is minimized.)