capacitor_clamped

本书为石端伟编写的《机械动力学》，介绍了机械动力学相关内容，单自由度、多自由度的响应分析，并附有matlab源代码。(Duan-Wei Shi written book for the " mechanical dynamics," describes the mechanical dynamics relevant content, single degree of freedom, more freedom of response analysis, together with the matlab source code.)

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

说明：  Lorenz系统程序整合版 集合很多不同的Lorenz算法的优点 更精确(Lorenz)

PMmachine in matlab simulink sumulated

通过运用数学软件matlab绘制不同颜色形状的花坛曲面(By using mathematical software matlab draw a different colors and shapes of flowerpot surface )

or a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

用MATLAB编写遗传算法代码求解带有时间窗的VRP问题(The genetic algorithm code is used to solve the VRP problem with time window.)

This program allows the application of the Decision Feedback equalizer by lms adaptive algorithm

convolution codes using matlab