A-Tutorial-on-Energy-Based-Learning

使用matlab编写的连续潮流，考虑了30发电机节点，结果相对比较可靠(continuous power flow matlab by myself，maybe it isvery useful)

卡尔曼滤波的基本原理，有利于对卡尔曼滤波有更深一步的理解(The basic principle of the Kalman filter, it is beneficial for a deeper understanding of thethe Kalman filter. )

遗传算法源代码,matlab源代码,just live your own way (the original code of gene,matlab,just live your own way )

matlab code about image processing

介绍电机控制的基本原理，矢量控制方法，永磁同步电机无刷直流电机的设计，矢量控制，弱磁控制原理及方法，以及转矩脉动仿真等等(Introduced the basic principles of motor control, vector control, permanent magnet synchronous motor brushless DC motor design, vector control, weakening control principle and method, and the torque ripple simulation, etc.)

自适应神经模糊推理系统的可运行实例，注释清楚易懂(Operable examples of adaptive neuro-fuzzy inference system)

说明：  随机共振相似度的Matlab计算程序，计算看出输入-输出的相似度S随着噪音的标准差的增大而不断得到改善，直到增大至一饱和值为止。(Stochastic resonance Matlab similarity calculation process, the calculation to see input- output of the similarity S as the standard deviation of the noise increases continue to improve until the saturation value increased to 1 so far.)

this program will help you to perform LDA and PCA signal processing tools for classifing

说明：  FM的M文件,是基于MATALB环境下运行的(FM M document is based on enriching environment running)

硕士学位论文捷联惯性系统初始对准研究 惯导系统的初始对准是影响系统使用性能的关键技术之一，对准的精度与速度直接关系到惯性统的精度与启动特性。对卡尔曼滤波及其在初始对准中的应用进行了研究。首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化提出了适用于舰载捷联惯性系统的动基座对准的2通道10个状态变量和2通道12个状态变量的系统动态模型，并建了相应的速度匹配和位置匹配量测模型。 (master's degree thesis SINS initial alignment study INS initial alignment is affecting system performance one of the key technologies, the alignment precision and speed is directly related to the precision inertial reunification with the startup characteristics. The Kalman filter and the initial alignment of the study. First introduced the theory of Kalman filtering background, and then reasoned a discrete Kalman filter equations, also for the state of discrete equations apply to the carrier SINS System Moving Base Alignment of two channels 10 state variables and two 12-channel system state variables dynamic model and built a corresponding speed matching and position matching measurement model.)