chazhi

无人机MATLAB SIMULINK 仿真分析设计(UAV MATLAB SIMULINK Simulation Analysis and Design)

用matlab编写的基于的ofdm的调制信道模型(Prepared using matlab ofdm modulation based channel model)

Speech Coding and Synthesis matlab files for Speech Coding and Recognition Course ----itu.dk

本书以仿真应用为中心，系统、详细地讲述了过程控制系统的仿真，并结合MATLAB/Simulink仿真工具的应用，通过大量经典的仿真实例，全面讲述过程控制系统的结构、原理、设计和参数整定等知识。包括过程控制及仿真概述、Simulink仿真基础、Simulink高级仿真技术，以及过程控制系统建模；实战篇包括PID控制、串级控制、比值控制、前馈控制、纯滞后和解耦控制系统；综合篇包括典型过程控制系统及仿真。(Book on the simulation application, system, tells the story of process simulation of the control system in detail, and combined with the application of MATLAB/Simulink simulation tool, through a large number of classic simulation examples, comprehensively describes the structure, principle, process control systems design and parameter setting of knowledge.Including overview and Simulink simulation of process control and, senior Simulink simulation technology, and process control system modeling Practical article including PID control, cascade control, ratio control, feedforward control, pure lag and decoupling control system Mix and match including typical process control system and simulation.)

使用频率变换法设计微波三通带带通滤波器。其中Z_P_Triple是实现有低通原型到双通带的变换。建议下载此程序者先下载本人上传的Source-Load-Coupling.rar，因为部分程序在其中(DESIGN OF CROSS-COUPLED TRIPLE-BAND FILTER USING FREQUENCY TRANSFORMATION)

运用牛顿拉夫逊法编制潮流程序，步骤简单易懂(Prepared using the trend of Newton Raphson procedure, the steps easy to understand)

微粒群优化算法整定PID参数，在matlab环境下的源代码(this is the use of particle swarm algorithm (PSO) PID controller optimized parameters of Matlab procedures)

power_triphaseline,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_triphaseline, matlab simulation files, power electronics, power electronics control valuable debugging through)

这是一下关于矩阵分解的程序，用matlab程序关于矩阵的qr分解(This is a program on matrix decomposition, using matlab realize matrix decomposition chol)

A classical problem in scheduling and integer programming is the unit commitment problem. In this problem, our task is to turn on and off power generating plants, in order to meet a forecasted future power demand, while minimizing our costs. We have several different power plants with different characteristics and running costs, and various constraints on how they can be used. We will start with a very simple model, and then expand this model with more advanced features. To make the code easy to read, we will write it in a verbose non-vectorized format