Fuzzy_Controller_Design

异步电动机的软启动simulink仿真模型。(Soft-start induction motor simulink simulation soft-start model. )

homework 3-1 is difficult

水声信道的研究与仿真_魏莉(Research and Simulation of underwater acoustic channel _ Wei Li)

深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

电能质量数据压缩，基于小波变换的（如Db3 haar）压缩(Power quality data compression, wavelet transform (such as Db3 haar) compression)

单摆模型及其扩展。给出单摆的运动参量随时间变化的情况。又扩展到双摆.(Pendulum model and its extensions.Given the situation of the pendulum movement parameters change over time. Extended to the double pendulum)

This the MAtlab simulink., designed tested Transormer based

Those who are working on power system optimisatio, for them here is all the load flow programs from book hadi sadat. It i the 1st part. Second part is also uploaded in this site by me

平时遇到很多做MPC（模型预测控制）研究的额朋友，对MPC的学习遇到不少困难，很大的原因就是有价值的资料很少，国内尤甚。这是本极好的讲解利用Matlab对模型预测控制进行建模分析的国外书籍，书名为Model Predictive Control System Design and Implementation Using MATLAB。在这里把电子版于大家一起共享，希望对研究这块的朋友有帮助。(Usually encountered do a lot of MPC (model predictive control) study the amount of friends, learning the MPC encountered many difficulties, much of the reason is that little valuable information, domestic, especially. This excellent explanation of the use of the Matlab model predictive control modeling analysis of foreign books, the title of Model Predictive Control System Design and Implementation Using MATLAB. The electronic version in here together to share research piece of the friends.)

Model Reference Adaptive Control