gasaTSP

说明：  功率谱 welch 方法 there is a simple demo for non parameteric spectral estimation methods(Welch method of power spectrum there is a simple demo for non parameteric spectral estimation methods)

现需要在高度为600~700KM范围内，回归周期为30天的太阳同步轨道上布置一颗L波段的合成孔径雷达卫星。 1. 请设计合适的轨道参数，并仿真对应轨道下一个运行周期内星下点轨迹图（纬度和经度两个图）； 2. 计算多普勒中心频率，多普勒调频率与纬度的关系图（设姿态角为0°，天线视角20°~60°，推荐35°）； 3. 按高斯投影方式，将星下点轨迹图投影到地图坐标上。(Now requires a height of 600 ~ 700KM range, return period of 30 days are arranged on a sun-synchronous orbit L-band Synthetic Aperture Radar satellites. 1 Please design the appropriate orbital parameters and simulate the corresponding orbit within the next operating cycle nadir trajectories (latitude and longitude two graphs) 2. Calculate the Doppler center frequency, Doppler frequency and the relationship between latitude Figure (set attitude angle is 0, the antenna angle of 20 to 60, recommended 35) 3 Press Gauss projection, the nadir trajectories projected onto the map coordinates.)

交通四阶段预测方法中，增长率预测法的matlab实现。(Traffic four stages forecasting methods, the growth rate of the forecast method of matlab. )

This code plots the receiver operating characteristics (ROC) curve for Rayleigh channel.

说明：  智能微电网粒子群算法进行优化调度，减少成本(Optimal Dispatching of Microgrid)

基于聚类分析的核主成分分析，简单实用，希望对大家有帮助。(Based on cluster analysis of kernel principal component analysis, simple and practical, we want to help.)

continues answer solution

这是一个汽车动力性仿真的程序其中包括驱动力计算，行驶阻力计算和最高车速计算。(This is a car dynamic simulation program including driving force calculation, driving resistance calculation and a top speed of calculation.)

说明：  遗传算法matlab代码，经过检测无错，希望对大家有用(Genetic algorithm matlab code, error detection)

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.