TREND

Example: Modeling an Inverted Pendulum in Simulink

利用量子遗传算法求解二元函数极值的matlab源程序。(Quantum genetic algorithm matlab source binary function extremum.)

单级矩阵变换器的仿真模型,经过试验是可以进行成功的仿真的(simulation modelssssssssssssssssssssssssssssssssssssssssssssssssssss)

Create a delay using C language.Tool used is MPLAB

该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)

主要描述的是平面电磁波的电磁散射问题，适合搞电磁计算的科研人员等(This guide provides a brief reference to the Graphical User Interface (GUI) that implements the propagation of a TE (Transverse Electric)/TM (Transverse Magnetic) plane wave through a multilayered structure of media with different electromagnetic characteristics. The incident wave is a TE/TM plane wave in the the zy plane (sinusoidal regime with temporal convention ejωt ), traveling from+z to-z. )

详细的matlab程序，共20个例子，非常详细！可以直接运行！学习matlab的好资料(detailed Matlab, with a total of 20 cases, very detailed. Can directly run! Matlab learning good information)

说明：  kalman 跟踪滤波，基于matlab语言编写，可运行(kalman tracking filter, based on the matlab language, can be run)

直方图均衡法的MATLAB图，经过测试没有问题，绝对可以用，做图像的同学可以用来参考.大家可以下载下来在MATLAB中运行试试(Histogram equalization method of MATLAB figure, after test no problem, absolutely, can be used to do image can be used for reference)

说明：  程序1：遗传算法和非线性规划函数的优化； 程序2：基于遗传算法的BP神经网络优化； 程序3：基于遗传算法的TSP算法； 程序4：基于遗传算法的LQR控制器优化设计 程序5：基于遗传算法的函数优化(Program 1: genetic algorithms and nonlinear programming function optimization Program 2: Based on the genetic algorithm BP neural network optimization Program 3: TSP algorithm based on genetic algorithm Program 4: LQR controller based on genetic algorithm optimization procedures 5: Function Optimization Based on Genetic Algorithm)