mine

matlab仿真程序小练习，五个小程序的练习，很有参考的价值(matlab simulation program of small exercises, five small program of exercises, the value of a good reference)

燃料电池模型基于simulink，十分有用(Fuel cell model is based on simulink)

在MATLAB中进行编程的实现定位误差分析的一段小程序(A small program of analysis in MATLAB programming to achieve positioning error)

Matlab7.0-Simulink6.0应用实例仿真与高效算法开发书中程序代码。我找了好久才找到。希望对搞控制的朋友有帮助。(Matlab7.0-Simulink6.0 application examples and efficient algorithm simulation code developed in the book. I am looking for a long time to find. I hope to help a friend out control.)

Welch法谱估计和参数模型谱估计的MATLAB分析(Welch spectral estimation MATLAB analysis and parameter estimation of the model spectrum)

说明：  基于前馈补偿的PID控制算法，使用m文件编写，很简单的例子(PID control algorithm based on feedforward compensation)

matlab使用教程，对初学者很有帮助的~~(the use of matlab tutorials for beginners helpful ~ ~)

brisk描述子,matlab语言，好懂易学(brisk descriptors, matlab language, easy to understand to learn)

基于最小二乘方法的远场宽频带FIB麦克风阵列固定波束形成器设计(design brodband FIB fixed beamformer of microphone array by using Least-Square algorithm)

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)