cluster-analysis

matlab codings for dtf and idtf

AR模型的Yule-Walker方程.1927年，Yule提出用线性回归方程来模拟一个时间序列。Yule的工作实际上成了现代谱估计中最重要的方法——参数模型法谱估计的基础。Walker利用Yule的分析方法研究了衰减正弦时间序列，得出Yule-Walker方程，可以说，Yule和Walker都是开拓自回归模型的先锋。(The Higher-Order Yule-Walker method.)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.

Matlab潮流程序非常好用的程式 欢迎大家来使用(The trend of the procedure is very easy to use Matlab programs welcome you to use)

自己编写的滤波器程序，包括低通，高通，和带通，matlab(I have written filter program, including a low pass, high pass, band-pass, matlab)

online library is a project for b.tech students

精密控制结构需要满足先进飞机的使命和对其引航的要求。这就要求飞行器的性能必须满足在低空飞行，低速飞行和大迎角攻击性飞行，全天候，昼夜工作的条件，并且新的控制技术应该成熟。这项工作提出了飞行控制时，状态变量和控制输入是由预先确定的限制范围内的系统控制系统的设计理念。在设计过程使用动态规划的概念。其基本思想涉及非二次泛函最小化。由于一系列限制因素，建议使用光滑函数。同时提出了该综合方法的优点。我们利用对F-18战斗机的纵向控制配置来说明该设计方法。(Indirect adaptive control for reconfigurable flight control is advocated. Specifically, online static system identification using a moving window/batch estimation is implemented. The ensuing linear regression is augmented with an intercept. The intercept parameter is included to address the effects of trim change associated with the occurrence of a control surface failure. Parameter estimate information is used to adjust the inner loop’s control gains, and a command derived from the intercept estimate is fed forward to automatically retrim the aircraft. The tracking performance of this automatic retrimming method, which relies on system identification, surpasses the conventional approach of exclusively relying on integral action for retrimming. These adaptive and reconfigurable flight control concepts are illustrated in the context of a fighter aircraft’s pitch plane dynamics. The novel adaptive and reconfigurable flight control system successfully handles a 50 per cent horiz)

matlab simulink files and documents supporting the

Indoor reflection test. for transmitter and receiver distance is fixed in 20m.