fuzzycontrol

说明：  一种基于角点信息和透视变换的图像镶嵌源代码(A corner-based information and perspective transformation of the image mosaic source code)

这是2007年安徽理工大学 多目标遗传算法应用研究硕士论文(This is 2007, Anhui University of application of multi-objective genetic algorithm pp)

自编SOFDTD计算等离子体平板反射透射系数matlab程序(Self SOFDTD plasma flat reflection and transmission coefficient calculation matlab program)

罚函数法是将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法的Matlab源程序。(Penalty function method is a constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function in Matlab source.)

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

利用som算法进行数据的聚类，实现无监督聚类(clustering the data with the som algorithm, that can relizing unsupervised cluster)

HVDC MMC PSCADE EMTDC

MC-CDMA的SIMULINK仿真 (MC-CDMA the SIMULINK simulation)

用matlab是实现半带抽取、半带内插滤波器，以及fft变换，CIC等等。(Using matlab to achieve half-band extraction, half-band interpolation filter, as well as the fft transform, CIC, etc..)

Model Predictive Control模型预测控制是目前流行的控制算法，以往的MPC算法都是要依靠S函数实现，本例使用MPC工具箱，详细说明了控制变量和状态变量的设定(Model predictive control (MPC) is a popular control algorithm at present. The previous MPC algorithms are implemented by S function. In this case, MPC toolbox is used to specify the setting of control variables and state variables)