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Robust Adaptive Fuzzy Control of a UPFC Power Flow Compensator

说明：  清华大学《matlab 控制系统应用与实例》第一部分M文件的源码(Tsinghua University &quot matlab control system applications and examples of&quot documents the first part of the source M)

使用matlab去秀出Laplace Approximation to Posterior并绘出正确图表(Using matlab to show off Laplace Approximation to Posterior and draw the correct diagram)

说明：  人工神经网络MATLAB源程序:此MATLAB程序用于人工神经网络(ANN MATLAB source : This MATLAB procedures for artificial neural network)

本人模糊控制的课堂作业，基于Sugeno（TSK）推理的模糊控制器(I am working class of fuzzy control, based on Sugeno (TSK) inference of the fuzzy controller)

一个cs的信号重构算法的简单实现--OMP(compressed sensing reconstruction algorithm of omp)

关于主元分析的简单的小程序。适用于初学者。(Simple program about PCA. Suitable for beginners.)

一本结合模糊推论系统matlab code源码的电子书，是学习模糊控制最佳用书。(This file contains code for solving some exercises, design problems, and examples in the book:Kevin M. Passino and Stephen Yurkovich, Fuzzy Control, Addison Wesley Longman, Menlo Park, CA)

《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。 (" MATLAB Control System Simulation and explain examples of" one-source book on CD-ROM. Book Description: This book explain in detail the function of the MATLAB 7.x and related operations and MATLAB in the control system simulation applications. The book includes basic control system simulation, MATLAB programming language basic, basic control system theory, Simulink interactive simulation environment, control system modeling, linear control system analysis and simulation, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification.)

将用matlab编译的N－R法用于潮流计算是以导纳矩阵为基础的，由于利用了导纳矩阵的对称性、稀疏性及节点编号顺序优化等技巧，使N－R法在收敛性、占用内存、计算速度方面的优点都超过了阻抗法，成为六十年代末期以后普遍采用的方法。(Matlab compiler will use the N-R method for power flow calculation is based on admittance matrix-based, due to the use of the admittance matrix of the symmetry, sparsity and node ID, such as sequential optimization techniques, so that N-R method in convergence , memory, computing speed advantages over the impedance method, the late sixties to become widely used method.)