转子系统启动时的瞬态动力学分析

说明：  Incoherent Scatter Radar model in Matlab. To calculate the theoretical spectra of radars.

黄永刚单晶体塑性的UMAT原始文件，不是网上流传的版本(huang-crystal plasticity)

说明：  关于J2塑性流动理论的金属3的材料本构隐式子程序umat(Implicit Subprogram UMAT for Material Constitutive of Metal 3 in J2 Plastic Flow Theory)

使用matlab进行超声波阵列指向性仿真(Simulation of directivity of ultrasonic array using MATLAB)

说明：  PID控制的水轮机调速器 simulink模型(Simlink Model of Hydraulic Turbine Governor Controlled by PID)

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.)

发源于美国麻省理工学院的Vensim软件，是由Ventana公司开发，在全球和国内获得最广泛使用系统动力学建模软件。它具有图形化的建模方法，除具有一般的模型模拟功能外，还具有复合模拟、数组变量、真实性检验、灵敏性测试、模型最优化等强大功能。Vensim有Vensim PLE, PLE Plus, Professional和DSS版本，适合不同的用户。(Vensim software, originated from Massachusetts Institute of Technology, was developed by Ventana company, and has gained the most extensive use of system dynamics modeling software both globally and domestically. It has graphical modeling methods. Besides the general model simulation function, it also has many powerful functions such as compound simulation, array variables, authenticity test, sensitivity test, model optimization, and so on. Vensim has Vensim, PLE, PLE, Plus, Professional, and DSS versions for different users.)

说明：  通过设置不同的参数，生成BA无标度网络。(This progarm is to create a BA network by setting different parameters.)

清洁机器人内螺旋算法仿真matlab程序，采用内螺旋算法全覆盖算法(Internal helix algorithm simulation)

说明：  本程序是完成网络的评价路径长度和聚类系数的计算。(This program is to calculate the average path length and clustering coeffient of a network.)