bldc_two_close_loop_2015rb(2)

说明：  李雅普诺夫稳定性分析，包含几种典型案例，供参考。(Lyapunov stability analysis, Contains several typical cases, For your reference)

说明：  通过EDEM体积力耦合API源程序，实现流体曳力耦合(Through the edem volume force coupling API source code, the fluid drag coupling is realized)

七自由度冗余机械臂的阻抗控制，并实现自动对奇异构型的避免，通过设置性能指标，自动对机械臂此时性能指标的变化进行判断并修正机械臂轨迹(The impedance control of the seven degree of freedom redundant manipulator is realized, and the automatic configuration is avoided. By setting the performance index, the change of the performance index of the robot arm is automatically judged and the trajectory of the manipulator is corrected)

说明：  这个程序是通过设置不同的参数来创建一个随机图，可以运行。(This program is to create a random graph for simulation.)

fluent教程（中文帮助+UDF完全使用手册）个人由英文文档翻译，仅供参考(Fluent tutorial (Chinese help +UDF complete manual) personal English translation of the document, for reference only.)

光伏仿真模型和boost-buck模型，适合做微网或者交直流微网的学者研究(Photovoltaic simulation models and boost-buck models are suitable for microgrid or AC-DC microgrid researchers.)

基于netlogo环境下的建模仿真，实现SIR模型的病毒传播(Based on netlogo environment modeling and simulation, to achieve the SIR model of virus transmission)

一个水下无人自主航行器（AUV）的MATLAB/simulink仿真程序，写得很详细，有附带的s函数和m文件供参考学习。(A MATLAB / Simulink simulation program for Unmanned Unmanned Unmanned Underwater Vehicle (AUV) is written in great detail, with s functions and M files attached for reference.)

说明：  高斯白噪声与有色噪声仿真程序，增进对于高斯白噪声的进一步理解。(The simulation of Guass noise.)

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.)