SystemTest

Attentional strategies for dynamically focusing on multiple predators/prey

The file introduces a modelling for the photovoltaic array panel.

气象色谱波峰波谷检测，比较简单的方法，欢迎大家下载(Meteorological chromatographic peaks and valleys detection)

介绍了SIMULINK仿真的基础知识，利用该软件可以在模型窗口上绘制出所需要的控制系统模型，然后利用SIMULINK提供的功能来对系统进行仿真和分析。(Introduces the basic knowledge of SIMULINK simulation, using the software can draw the window in model needed to control system model, and by using SIMULINK functions to provide the system simulation and analysis.)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

结合HCM和FCM优点的一种新的高效算法。(HCM and FCM combines the advantages of a new efficient algorithm.)

FIR filter with weight function

To design a low pass Filter using Blackman window matlab code with example

matlab program for random noise addition

卡尔曼滤波，具有自适应功能,对应五个经典的公式，方便大家学习使用(Kalman filter, the adaptive function Corresponding to the five classic formula, facilitate everybody to learn to use )