principal--stress

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)

Simulation Guide of MATLAB

MATLAB5.3 exciting programming and advanced applications

IIR FILTER DESING IN MATLAB

power system simulation lab

matlab扩展编程，系统的介绍了matlab扩展编程的用法和注意细节，对matlab的继续学习打下坚实的基础。(matlab extension programming, the system introduces the use of matlab extension programming and attention to detail, to the matlab' s continue to learn to lay a solid foundation.)

无刷直流电机matlab仿真 采用PID调节(Matlab simulation of brushless DC motor using PID regulator)

matlab code for finding exon regions in DNA strand

系统辨识和自适应控制中极点配置直接自矫正控制(Direct from the poles corrective control in System identification and adaptive control)

Simple coordinate search algorithm