04872019fdma

Visualisation of oscillations

RBF 神经网络自适应逼近源代码，利用RBF神经网络对连续模型进行逼近(Source code about the RBF neural network adaptive approximation, and the RBF neural network is used to approximate the continuous model.)

关于经典倒立摆的MATLAB simulink 仿真程序，基于最优二次型的仿真程序，通过改变状态矩阵可以改变系统模拟(With regard to the classic inverted pendulum MATLAB simulink simulation program, based on the optimal quadratic-based simulation program, the state matrix can be changed by changing the system simulation)

改进的积分方程模型，微波遥感领域，用于求土壤的后向散射系数等；该模型为双站散射。(Improved integral equation model, the field of microwave remote sensing, and soil after backscattering coefficient model for bistatic scattering.)

自动控制原理PPT大学教程，是华北电力大学的(Automatic control theory PPT university course, is North China Electric Power University)

Matlab GUI Program to capture picture from webcam

prim算法 kruskal算法用matlab实现 输入标准：x邻接矩阵 p节点集 输出：生成树边集 G(prim algorithm Kruskal algorithm matlab input standard: x adjacency matrix p Node Set Output: Spanning Tree margination G)

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) )

根据系统传递函数求系统时域性能指标，输入为阶跃信号(Transfer function evaluation system according to the system performance in time domain, the input step signal)

Kernel Orthogonal PLS package