Kalman_filter_FDI

2006年World Congress on Intelligent Control and Automation上的一篇水平集的文章，对于初始化介绍比较详细(2006 World Congress on Intelligent Control and Automation on a level set of the article, for a more detailed introduction to initialize)

OFDM,802.11的残余相位补偿算法，用于分析非理想同步的情况(OFDM, 802.11 residual phase compensation algorithm, is used to analyze the situation of non-ideal synchronization)

这是几个萤火虫源代码，可以正常使用，放心使用(This is a few firefly source code, can be used normally, rest assured that use)

this is a code for mesh and cracking body

说明：  算法应用于DOA估计，为典型music算法，仿真可通过！(The algorithm is applied to DOA estimation. It is a typical music algorithm. The simulation can be passed!)

说明：  APF有源滤波器仿真，两电平，三相四线制，电力电子技术，matlab simulink(APF active filter simulation, two-level, three-phase four-wire system, power electronics technology, matlab simulink)

This paper deals with analysis of main functional diagrams of step PID controllers for electric motor-driven actuators. The main formulae to calculate the parameters of the diagrams of step PID controllers are presented in the paper. The influence of these parameters on the transient processes in step controllers and on the output position of the actuator is analyzed. Transient processes in step controllers with motor-driven actuators are simulated in PI and PID control mode. These transient processes are compared to the transient processes in continuous controllers. The accuracy of step PID controllers is analyzed, and restrictions on the parameters of step PID controllers are presented. The diagrams of step PID controllers considered in this paper can be implemented in the up-to-date PLCs software for automatic control using the electric motor-driven actuators in the control loops.

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

系统辨识方面的程序，主要是根据输入和输出信号进行参数的确认(Aspects of system identification procedures, mainly based on the input and output signal parameters of the recognition)

灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values ​ ​ obtained result of the inverse process.)