OFDMsourceCode

模糊算法PID控制器参数再线自动整定MATLAB程序(Fuzzy PID controller then automatically tuning MATLAB)

熟悉数值方法在matlab中的运用，灵活运用各类绘图函数，边学边用，加强对数值方法的认识。(Familiar with numerical methods in matlab in the use of flexible use of various types of drawing functions, learning while using, to enhance understanding of numerical methods.)

ics 的malloc实现，采用分离存储，模拟memory的malloc和free等操作。(to realize the molloc and free operation, the lab of ics class)

用于现代信号分析与处理课程，系统辨识、维纳滤波和自适应滤波(Used in modern signal analysis and processing programs, system identification, Wiener filtering and adaptive filtering)

DFT BASED PRECODING FOR ostbc

本文件包括了蒙特卡洛所以常用的模拟方法，是初学者比较好的学习教材~(The document includes the Monte Carlo simulation methods commonly used so it is good learning materials for beginners ~)

MATLAB蚁群算法源程序，和大家一起分享！和大家一起多多交流学习！(MATLAB source code ant colony algorithm, and to share with everyone! Learn more exchanges with everyone!)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

unit commitment by GA(select parent file)

具有反馈控制的动力消振器的响应分析 利用MATLAB中的simulink对消振器进行仿真(With feedback control of dynamic absorber response analysis using MATLAB simulink in the simulation of the damper)