user-subroutines-l4-usdfld

说明：  利用matlab求解方程，方程求解并画图(Equation solving and drawing)

该文件解决了电磁场和天线问题计算当中的近远场转换的问题，它也可以应用在一般散射问题的求解中。(this file contains an algorithm that could solve problems within the EM and antenna near to far field questions. Also, it could be used in general scattering problems.)

两种涡旋光束的线性强度、强度密度和三维立体图，改变拓扑荷可以改变强度分布。(two kinds of vortex beam)

计算材料学中用相场法模拟凝固相变以及晶粒长大的开源性程序(Computational Materials Science solidification using phase-field simulation of grain growth phase transitions and open-source program)

用matlab的算法，实现MUSIC时间反演，主要用于信号处理中的相关问题(MUSIC time reversal matlab algorithm, mainly used for signal processing issues related to)

施威德勒球壳在ansys中的建模分析，APDL语言(Of Schwedler shell modeling in ansys, APDL language)

大规模配电网118节点的潮流计算程序，辐射状网络，含原始数据。(Large-scale distribution network 118 nodes of the power flow calculation procedures, radial network, with the original data.)

说明：  相关性矩阵源代码，用于计算已知数据的相关性系数(Relevance matrix source code, used to calculate the correlation coefficient of known data)

基于最小二乘位置估计定位方法（三维的）可产生图((Three-dimensional) positioning method based on least squares position estimation in Figure)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)