Journal1

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

Integrator for second-order ODE s with very stringent error tolerances.

Lattice Boltzmann Method Simplified 2D Cavity Flow D2Q9, for educational purpose only.

快速ICA盲源信号处理，在众多信号分离中分离效果较佳。可以自己做扩展。(Fast ICA blind source signal processing)

matlab仿真最大似然估计法，简单易懂，适于初学者使用。(matlab simulation of the maximum likelihood estimation method, easy to understand, suitable for beginners to use.)

说明：  CEC2017单目标测试函数，分享给需要的同学们(CEC2017 single objective test function)

some simulink mas + onduleur (some simulink mas+ onduleur )

该函数由于遗传算法，粒子群算法等各类测试，可以很好地对你所编程序进行评估，以验证你提出的算法的合理性(Function due to genetic algorithms, particle swarm optimization, and other tests can be well on your programmed assessment, to verify the rationality of the proposed algorithm)

说明：  粒子滤波对数据的预测与跟踪能力，对电池剩余寿命的预测(Prediction and tracking ability of particle filter for data)

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m"