LQRyuPID

this is the DCT image compression code i have tried . i missed out 2 files while uploadin last time sorry :) hey guys i missed 2 files

VS2005调用matlab，适合于初学者学习研究(VS2005callmatlab,for the students who study early)

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)

基于dtc svm_dtc 的船舶电力推进系统仿真模型(Propulsion system simulation model based on dtc svm_dtc ship )

matlab file on Line Parameters and Circuit Models, Switching Transients in Single-Phase Line simulation

Konvolution of images.

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)

Energy Impact of Emerging Mobile Internet Applications on LTE Networks: Issues and Solutions

说明：  智能控制仿真GUI界面，对离散化的受控对象进行不同方式的控制（包括传统PID控制、模糊PID控制、神经PID控制和专家及仿人智能控制），然后通过分析不同条件下的单位阶跃响应指标，比较各控制方式之间的差异及控制特点。(intelligent control GUI)

此模型为蓄电池模型，希望能够帮助到大家，祝大家天天开心！(This model for the battery model, hoping to be able to help you, I wish you happy every day!)