predicted_contact_forces

Solving Optimal Power Flow with Voltage Constraints using MATLAB Optimization Toolbox

利用遗传算法的选择、交叉、变异功能来解决多元单峰函数求最优值问题(The use of genetic algorithm selection, crossover and mutation function to solve the multi-function uation unimodal optimal value problem)

Description: soft source, 1D,absorbing boundary condition (which really only work for epsrel=murel=1), reflection at an interface type ward_fdtd1d to run. (Description : soft source, 1D. absorbing boundary condition (which really on ly work for murel epsrel = = 1) reflection at an interface to type ward_fdtd1d run.)

SVD去噪，构造的矩阵方法为对数据进行均匀分段，并对去噪前后的信噪比，均方差进行了对比。(SVD denoising, construction of the matrix method for the data sub-uniformity, and signal to noise ratio before and after denoising are compared variance.)

This program can detect a corner

说明：  matlab源码编写的QPSK调制与解调程序，含载波及采样频率(matlab source code written in QPSK modulation and demodulation process, including the carrier and sampling frequency)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

基于basic的元胞自动机程序,其中有一部分的源代码,里面包包括经典的元胞自动机模式,例如life， (Program based on the basic cellular automata, in which part of the source code inside the package, including the classic cellular automata models, such as life)

很全的matlabGUI设计例程，包括下拉菜单设计，选择设计等。(Very and full of matlabGUI design routines, including the drop-down menu design, selection and design.)

implement PRM to check collision robot and obstacle