Matlab_ISR Model

对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.)

说明：  转子磁场定向矢量控制的PWM逆变器仿真模型(Simulation Model of PWM Inverter with Rotor Field Oriented Vector Control)

说明：  非线性调频信号的产生函数，以及绘制时域频域图像(Proudce a NLFM signal,use for radar test)

基于文章A 90-MS/s 11-MHz-Bandwidth 62-dB SNDR Noise Shaping SAR ADC的基本功能建模，仿真一阶噪声整形的噪声传输函数(Based on the basic function model of article , A 90-MS/s 11-MHz-Bandwidth 62-dB SNDR Noise Shaping SAR ADC , the noise transfer function of first-order noise shaping is simulated.)

多目标优化的最大妥协解，转换成单目标优化 三人博弈的部分(The maximum compromise solution of multiobjective optimization)

实现了random waypoint模型(random waypoint model)

蓄电池双向Boost/Buck充放电控制，与电网结合。(Battery bi-directional Boost/Buck charge and discharge control, combined with the grid.)

说明：  使用python语言实现复杂网络SIR和SIS模型编程(SIR AND SIS model with python language)

光纤存在非线性效应，SPM、XPM、FWM，本算法为啁啾高斯光束在光线中传播的波形变化，采用了分步傅里叶法(simulation of fiber nonlinearity)

说明：  UPFC模型，模型非常详细和系统，有助于理解潮流控制器(UPFC model, which is very detailed and systematic, helps to understand power flow controllers)