ECONOMIC-LOAD-DISPATCH

单个矢量传感器的波束仿真，并且波束的方向可以任意调整。(A single vector sensor beamforming simulation, and the direction of the beam can be adjusted.)

说明：  一份针对蚁群算法的Matlab程序，希望对大家有帮助(ant colony matlab)

无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法，不再近似系统的非线性方程，它仍然用高斯随机变量表示状态分布，不过是用特定选择的样本点加以描述，每个点叫一个高斯点，它从系统状态的概率密度函数中取出；然后，按系统的真实模型演化，得到非线性演化后的σ点，使得样本均值和样本方差是真实均值和真实方差的好的近似。 在这个程序中，实现了基于UKF的滤波方法，并且建立了两种仿真环境进行实验。(Unscented Kalman filter UKF is an important nonlinear filtering method. It uses the UT transformation method, no similar system of nonlinear equations, it still says the state with the Gaussian distribution of random variables, but the specific choice is to describe the sample points, each point is called a Gaussian point, it is from probability density function of the system state to remove then, according to the true model of evolution of the system obtained after the nonlinear evolution of σ point, making the sample mean and sample variance is true variance of the mean and the true good approximation. )

完整的现代通信系统仿真源代码包括信道容量和编码扩频通信等(Complete source code of modern communication system simulation)

这是波束形成源代码，不同方向加权后形成的波束域(This is beamforming source code, different direction weighted formed after beam domain)

LTE fundamentals and mathematical definitions algorithms

无刷电机的仿真模型，取合适的参数，模型仿真结果很逼真,(Simulation model of the brushless motor, take the appropriate parameters, the model simulation results are realistic,)

BP神经网络 作为弱分类器，反复训练，多个BP神经网络组成强分类器(The BP neural network as a weak classifier, repeated training, many of the BP neural network classifier)

This deliverable is the final deliverable of workpackage 3 “MU-MIMO in practice”. It builds on the previous deliverables D3.1 and D3.2 and includes results tasks 3.2 on channel modelling for MU-MIMO (Note that this task has been extended to month 24) and task 3.3 on the implementation of the selected MU-MIMO algorithms on the OpenAirInterface development platform.

MODELING OF A BDFM matlab simulink with torque control and frequency control