xiaoboquzao

An ideal SM control operates theoretically at an infi nite switching frequency so that the trajectory follows exactly the reference track

用LMS算法从白噪声中提出单频正弦信号模型(LMS algorithm with white noise from the proposed single-frequency sinusoidal signal model)

说明：  飞行控制器matlab仿真，网上没有哦()

采用Fox-Li数值迭代法，对三种激光器腔镜类型下，激光从初始状态到稳定分布的这一过程进行了MATLAB建模仿真。分析了激光器结构参数的变化对光场稳定所需的迭代次数的影响。(Using Fox-Li numerical iterative method, the three types of laser mirrors, the laser from the initial state to the stable distribution of this process modeling and simulation of MATLAB. Analysis of changes in the structural parameters of the laser light field the number of iterations required to stabilize the impact.)

经典mppt与风速湍流作为搜索信号的mppt 非常经典是 风力发电技术优化的必须内容(mppt wind speed )

matlab编程进行离心叶轮一维初始参数计算(matlab programming centrifugal impeller one-dimensional initial parameter calculation)

single phase full converter using rl load

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)

神经网络训练拟合函数曲线，拟合复杂函数曲线(The neural network training function curve fitting)

iRobotCreateSimulatorToolbox1_3 iRobot仿真matlab工具箱(iRobotCreateSimulatorToolbox1_3 iRobot simulation matlab toolbox)