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状态完全可测时，基于Lyapunov稳定性理论的模型参考自适应控制(When the state is completely measurable, Lyapunov stability theory based model reference adaptive control)

DVR system in SIMULINK

说明：  微电网调度优化设计问题Optimal design of microgrid dispatching(Optimal design of microgrid dispatching)

说明：  HMC1022的中文资料,资料比较难找~~~~(HMC1022 the Chinese datasheet)

在多天线QAM调制下，仿真误码率曲线图。(Multi antenna in QAM modulation, bit error rate curve simulation)

FSO通信MC仿真，基于FSO信道特性给出信道损失的Monte Carlo仿真(simulation of FSO Monte Carlo)

基于matlab的水果识别系统，含报告，源码(Fruit recognition system based on matlab, including report, source code)

Some simple examples

cvpr2013人脸识别代码，鲁棒性很好，是学习的好资料(cvpr2013 face recognition code, robustness is very good, is good information to learn)

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems