PLStest

matlab的基础技术文档，很管用，还有很多实例(matlab based technical documentation, very useful, there are many instances)

Wandering robot avoiding obstacles while wandering and reaching a goal

compass 03 digital compass module simulation

《MATLAB神经网络30个案例分析》中的第28个例子，案例28 灰色神经网络的预测算法—订单需求预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 28 example, 28 cases of grey neural network prediction algorithm- order demand forecasting. Hope to have certain help to everybody! )

DCDC电路超前滞后补偿网络设计，参数直接在初始化里面修改，参考书：电力电子建模与控制。(DCDC circuit lead lag compensation network design, parameters directly in the initialization which modify the reference book: power electronics modeling and control.)

OPENDSS源代码，用于电力系统仿真，也可用于MATLAB调用,nevtestcase(OPENDSS source code, used in power system simulation, can also be used to invoke MATLAB, nevtestcase)

无限大障板下的四边简支板的空间辐射声场计算，瑞利积分(Quadrilateral space radiation sound field calculation of simply supported plate, Rayleigh integral)

单相半桥LLC谐振直流变换器 采用开环控制 整流侧采用全波整流(The single phase half bridge LLC resonant DC converter adopts open loop control, and the rectifier side adopts full wave rectifier)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

OFDM的调制代码，对于OFDM的调制可以加深理解(OFDM modulation code, for better understanding of OFDM modulation can be)