123

The geodesy aspects of Matlab source geodesy aspects Matlab source would be helpful

说明：  IEEE 14 bus 的matlab仿真模型(Matlab simulation model of IEEE 14 bus)

寻找很多个点的最大包围线。通过扫描法，分成4个代码文件实现。最后附图给出前后结果。(Looking for maximum points surrounded by a lot of lines. By scanning method, divided into four code files to achieve. The results are given before and after the final drawings.)

使用CFB方法实现对信号方位角的估计 分别为22° -22°(CFB methods used to achieve the estimated azimuth of the signal were 22 °-22 °)

matlab 工具函数 SDIR2CAS函数(Matlab tool function SDIR2CAS function)

This is an intuitive sudoku solver in matlab.

说明：  利用模拟退火算法对二元函数的极值点进行寻找(The simulated annealing algorithm is used to find the extreme points of binary functions)

MATLAB求解非线性方程组 fsolve源程序代码 该列具有典型性和代表性(MATLAB求解非线性方程组 fsolve源程序代码)

分布式发电的PQ控制研究仿真，通过MATLAB/simulink进行仿真(PQ control study simulation of distributed generation )

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)