OFDM_Multipath_simulation

说明：  这是一种对遗传算法的Matlab实现，此算法主要应用于求函数的极值。(This is a Matlab implementation of genetic algorithms, this algorithm is mainly used in extreme demand function.)

This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega + omega/Q + sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) (This simulink model simulates the damped driven pendulum, showing it s chaotic motion. theta = angle of pendulum omega = (d/dt)theta = angular velocity Gamma(t) = gcos(phi) = Force omega_d = (d/dt) phi Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta) Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method. Chaos can be seen for Q=2, omega_d=w/3. The program outputs to Matlab time, theta(time) & omega(time). Plot the phase space via: plot(mod(theta+pi, 2*pi)-pi, omega, . ) Plot the Poincare sections using: t_P = (0:2*pi/omega_d:max(time)) plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . ) System is described in: "Fractal basin boundaries and intermittency in the driven damped pendulum" E. G. Gwinn and R. M. Westervelt PRA 33(6):4143 (1986) )

本人搭建的Matlab风电模型、直驱2MW的，研究塔架振动的(I set up the Matlab, 2 mw direct-drive wind model, the mode of vibration，PMSG)

neural network trained with unscented kalman filter

buck boots discret model

图像Sift特征提取,由MATLAB和C混合编程完成。(Sift feature extraction, image performed by MATLAB and C programming. )

832658matlab编的特征匹配（控制点）,做这方面的朋友不妨参考。(832658matlab series of feature matching (control point), make friends in this area may wish to reference.)

基于PCA的故障检测 采用主元分析法 可以对其进行故障检测 生成ABC图(Based on PCA fault detection using principal component analysis method can generate the fault detection ABC figure)

Pseudo-Random Generator(Autokorelation function of PN secvence)

求解含有时滞的鲁棒控制问题，并给出了一些数值例子。(time-delay robust control)