yang_pure

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) )

Ciudad descritas en matlab para comprobar que un algoritmo evolutivo funciona bien

说明：  用于功率预测的CNN代码，以及一系列相关函数文件(CNN Code for Power Prediction)

说明：  关于LDPC编码的MATLAB实现仿镇,求关于LDPC码的FPGA实现(LDPC coding on the fake MATLAB town, seeking LDPC on the FPGA)

单神经元PID解耦控制程序,解耦算法例子以活套系统为传递函数。(Single Neural Net PID Decouple Controller based on Hebb Learning )

matlab使用教程，是《21 世纪全国应用型本科电子通信系列实用规划教材》。包含：第1 章 MATLAB简介；第2章 MATLAB语言基；第3章 MATLAB数值运算；第4章 结构数组与细胞数组；第5章 MATLAB 符号运算；第6章 MATLAB 程序设计；第7章 MATLAB 数据可视化；第8章 交互式仿真集成环境 SIMULINK；附录 MATLAB 上机实验(Using matlab tutorial is " 21st Century electronic communications nationwide series of application-oriented practical planning materials." Contains: Chapter 1 Introduction MATLAB Chapter 2 MATLAB language group Chapter 3 MATLAB numerical computation Chapter 4 array of structures and cell arrays Chapter 5 MATLAB symbolic computation Chapter 6 MATLAB programming Chapter 7 MATLAB data visualization Chapter 8 interactive simulation integrated environment SIMULINK Appendix MATLAB on experiments)

粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)

说明：  对地震计录进行fk滤波，适用于初学者，可以下载学习(fk filter,FK filtering for seismometer recording is suitable for beginners and can be downloaded for learning)

用于均衡DPSK信号的JD-MLSE算法，为matlabb程序，输入DPSK解调的两路信号，判决得到所需的bit序列，并计算误码率(It s used for electronical equalization based on joint-decision maximum likelyhood estimation (i.e. JD-MLSE).)

具有服从瑞利分布杂波的雷达目标恒虚警处理(CFAR radar target simulation with a Rayleigh distribution of clutter)