inverter3ph

说明：  用于对非线性方程的参数估计和最优估计的粒子滤波算法，保管一看就会，步骤很清晰的。(the solution of non-line function by pf filter)

image roate with random angle

the leach protocol in wireless sensor network

function Colored(flag, corr) Kalman filter simulation with colored (time correlated) measurement noise. INPUTS: flag = 0 means ignore the time correlation of the measurement noise 1 means augment the system state 2 means use the Bryson/Henrikson approach corr = magnitude of measurement noise correlation <= 1

说明：  多目标遗传算法在工程领域应用较为广泛，希望对大家有用。(Multi-objective genetic algorithm is widely used in the field of engineering, and it is hoped to be useful to everyone.)

这是一个用来控制电机正反转的matlab程序。(This is a matlab program used to control the motor reversing.)

编写仿真程序画出(8，1)重复码系统在硬判决译码和软判决译码两种情况下的BER性能曲线（均采用最小距离译码）(Write simulation program, draw (8, 1) repeat code system in the hard decision decoding and soft decision decoding two cases of BER performance curve (both using minimum distance decoding))

《matlab/simulink电力系统建模与仿真》是一本针对电气工程及其自动化专业的mati,ab／simulink仿真入门教材。《matlab/simulink电力系统建模与仿真》涵盖了电力系统稳态分析、电力系统暂态分析、电力系统继电保护、高压直流输电、柔性输电以及风力发电等主干课程。(" Matlab/simulink power system modeling and simulation" is a mati for electrical engineering and automation professional, ab/simulink simulation primer. " Matlab/simulink power system modeling and simulation," covering the steady state power system analysis, power system transient analysis, power system protection, HVDC, FACTS and wind power and other main courses.)

说明：  matlab与科学计算的教程编写的课堂课件(MATLAB and science calculational)

遗传算法是计算机科学人工智能领域中用于解决最优化的一种搜索启发式算法，是进化算法的一种。这种启发式通常用来生成有用的解决方案来优化和搜索问题。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。(In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.)