OBSERVATOR

说明：  非线性最小二乘优化问题以误差的平方和最小为准则来估计非线性静态模型参数的一种参数估计方法。设非线性系统的模型为y=f(x，θ)，常用于传感器参数设定。(64/5000 A parameter estimation method based on the minimum sum of squares of errors. Suppose that the model of the nonlinear system is y=f(x,), which is commonly used for sensor parameter setting.)

Calculate speed and acceleration of mechanism

matlab 画3d的心形图。用matlab实现。(matlab draw 3d heart-shaped figure. Using matlab.)

Dilution of precision part 2

说明：  GA-BP算法Matlab实现，不带说明论文！！！(back propagation genetic algorithm)

本文件主要是关于分支定界算法的MATLAB程序，采用分支定界法来求取线性规划与非线性规划等问题的全局最优解。(This document is a MATLAB program on the branch and bound algorithm using the branch and bound method to strike a global optimal solution of linear programming and nonlinear programming problems.)

ID3树的matlab生成。数据样例已包含再压缩包中。(Build ID3 Tree in Matlab using structure)

Root raised cosine filter implementation in matlab, with graphs of impulse and frequency response.

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

这是一个包含simulink模型的主动控制的程序，应用遗传算法求解(This is a program that contains the active control of the simulink model and is solved using genetic algorithms)