9-input-4-output

说明：  该代码是标准粒子滤波算法的标准代码，通俗易懂，能够运行。(The code is the standard code of the standard particle filter algorithm,it is easy to understand, and can be able to run. )

UKF 在Matlab 下的实现 含有matlab的程序代码(UKF realization in Matlab)

利用MATLAB实时处理GPS数据,：利用MATLAB软件环境，现场接收并实时处理海上地球物理调查过程中的GPS定位数据，剔除原始数据中的跳点，处理定位误差.(Real-time GPS data processing, using MATLAB: using the MATLAB software environment, the site receives and real-time processing GPS positioning in the process of Marine geophysical survey data, eliminating hops in the raw data, processing positioning error.)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.

在MATLAB中完成STL数据的渲染，用PATCH函数完成加颜色和亮度等功能(Completion of the STL data in MATLAB rendering)

采用粒子群算法对GARVER-6节点配电网络进行直流潮流计算(DC power flow calculation of GARVER-6 node distribution network using particle swarm optimization)

power_svpwm_multiPhasesLevel.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_svpwm_multiPhasesLevel.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

DATA SHEET FOR TL 494. CHARACTERISTICS FOR TL 494.

无模型自适应控制算例代码，供初学者使用。(code for model free adaptive control, for beginner reference)