matlab

使用matlab编程实现OFDM的收发一张图片，查看相关性能！(Use matlab programming OFDM transceiver, a picture, view the associated performance!)

利用粒子群算法，计算函数的最优化问题。 本程序有很强的适用性。在理论与实际问题的优化上有一定的推广价值(The use of particle swarm optimization, the calculation function of the optimization problem. This procedure has a strong application. Theory and practical problems in the optimization of the promotion of certain values)

说明：  基于MATLAB软件的交流永磁同步电机调速系统研究 介绍了一种采用磁场定向理论控制交流永磁同步电机的调速系统，应用现代控制理论对 电机直交轴耦合分量进行了解耦，并利用经典控制理论设计了电流环和角速度环调节器。MATLAB 仿真 结果证明了该方法的有效性，但系统调试时仍需根据具体情况适当调整以得到更理想的效果。(MATLAB software based on the exchange of permanent magnet synchronous motor speed control system introduces a theory of the use of field-oriented control of AC permanent magnet synchronous motor speed control system, the application of modern control theory on DC motor shaft coupling the decoupling components and to make use of classical control Theoretical Design of a current loop and the angular velocity of ring modulator. MATLAB simulation results prove the effectiveness of the method, but the system still need to debug when appropriate adjustments in accordance with specific circumstances in order to obtain better results.)

永磁同步电机的在各种仿真，均可运行，m文件和simulink文件都有。(Permanent magnet synchronous motors in a variety of simulation can be run, m files and simulink files have.)

摘要 随着火电机组向大容量、高参数和高效率方向发展，对机组热工自动控制系统控制品质的要求也随之提高。在热工过程中，大多数热工对象具有较大的惯性和迟延，且是非线性和慢时变的，部分对象还是多变量的，因而具有很大的不确定性和强耦合性。这就难以建立精确的数学模型，使采用固定参数的PID控制器不能与生产上越来越高的控制要求相适应。 本文主要是研究动态矩阵控制算法在主汽温控制方面的应用。首先，分析了当前火电厂主汽温的控制方式和常规的控制方法，以及影响主汽温变化的各种扰动因素；然后，介绍了动态矩阵控制算法的原理，并基于此原理设计了DMC主汽温控制系统；并且与传统的串级PID控制系统进行了比较，仿真结果表明动态矩阵控制算法的响应速度快，且没有超调，鲁棒性好，控制品质明显优于常规PID控制。 关键词：主汽温；动态矩阵控制；DMC；matlab仿真 (Abstract Developing with the tendency to large capacity, high parameters and high efficiency of fossil-fired unit, the control trait request for thermodynamic automatic control systems is heightened .In thermodynamic process, most thermodynamic objects have large inertia and delay, and are nonlinear and time-variable furthermore, some of them are multi-variable, and also has large uncertainty and strong coupling. This makes it difficult to construct accurate mathematic models, and makes PID controllers with fixed parameters hardly adapted to higher and higher control request in production This article is mainly the research of the application of dynamic matrix control in the main temperature control system. First, it analyzed the conventional control method in the current thermoelectric power station steam system, and the affects of every kind of perturbation factor in the main temperature control system. Then it introduced the principle of dynamic matrix control algorithm, and desi)

说明：  MIT Matlab教程：INTRODUCTION TO MATLAB — Fall 1999 Thomas F. Weiss Last modification September 9, 1999 1(MATLAB is a programming language and data visualization software package which is especially effective in signal processing and systems analysis. This document is a brief introduction to MATLAB that focuses on those features that are of particular importance in 6.003.1 It is assumed that the reader is familiar with Project Athena, has an Athena account, and has little or no experience with MATLAB. Other MATLAB help is available through Athena consulting which offers a number of more tutorial handouts and short courses (ext. 3-4435), on-line consulting (type olc at the Athena prompt), and Athena on-line help (type help at the Athena prompt). There are a number of books available that describe MATLAB. For example, Engineering Problem Solving with Matlab, by D. M. Etter, published by Prentice-Hall (1997) and Mastering MATLAB, by Hanselman and Littlefield, published by Prentice-Hall (1996). The paperback MATLAB Primer by K. Sigmon, published by CRC Press (1994) is a handy summar)

Code solves thermal fin equation in matlab.

matlab教程电子书，适于matlab系统性学习(Matlab tutorial e-book, suitable for matlab system learning)

说明：  这是一本关于迅速查找MATLAB函数目录的书籍，值得拥有。(This is a MATLAB function to quickly find the directory on the books, worth having.)

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)