phase-field

提出基于高速公路收费站进出口数据推算OD矩阵的一般方法。在缺乏初始OD矩阵的条件下,结合指数平滑法和无约束重力模型思想,通过VB编程反复迭代进行初始OD矩阵推算 利用组合模型预测高速公路各收费站出入口流量,通过弗雷特法进行OD分布推算。以沪宁高速公路为例证实此方法具有较高的精度。(Proposed highway toll station-based import and export data projections general OD matrix method. Lack of initial OD matrix conditions, combined with the exponential smoothing and unconstrained gravity model of thinking, through the VB Programming iterative initial OD Matrix Estimation flow of the use of a combination of model predictions highway toll station entrances and exits through Fratar Method for OD distribution projections. Shanghai-Nanjing Expressway, for example to confirm that this method has higher accuracy.)

说明：  计算时程信号数据的快速傅里叶变换，进行频谱分析(The fast Fourier transform of time history signal data is calculated and the spectrum analysis is carried out)

自己编写的变步长龙格库塔方法解强非线性微分方程(their preparation variable step Changlong lattice-Kutta method to solve nonlinear differential equations)

实现高斯厄米特积分，可以直接更换f函数，得到所求的积分(High the Sie Mitt integral to replace the f function, ask the integral )

包络线去除完全用Excel函数写的包络线去除分析，仅实现了1850—2100nm的包络线去除，其他波段可自行扩展(Continuum Removal MATLAB Compiler 1. Prerequisites for Deployment . Verify the MATLAB Compiler Runtime (MCR) is installed and ensure you have installed version 7.13. . If the MCR is not installed, run MCRInstaller, located in: <mcr_root>* oolboxcompilerdeploywin32MCRInstaller.exe For more information on the MCR Installer, see the MATLAB Compiler documentation.)

说明：  fluent的udf程序，可以计算pmv(Fluent's udf program can calculate pmv)

使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。(The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building)

多重网格方法求解矩形边界条件下泊松方程，偏微分方程数值求解(use multigrid method to solve poisson equation in rectangular domain)

对于空间上的任意几个点所在的直线或曲线，该程序可以拟合出的方程。(For any of several points on the space where the line or curve, the program can fit out of the equation.)

水下机器人在线最小二乘辨识、应急导航策略研究(Recursive Identification of Autonomous Underwater Vehicle for Emergency Navigation)