suhu

adaptive control of matlab simulink model

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

matlab数学建模工具箱，非线性整数规划模型求解分支定界迭代算法(matlab toolbox of mathematical modeling, nonlinear integer programming model of iterative algorithm branch and bound)

天线实频匹配法优化函数的构造，可扩大频带宽度,达到提高增益的效果(the function structure of the real frequency method)

D-S证据理论数据融合，包括压缩比、运行时间和计算复原图像的峰值信噪比,合成孔径雷达（SAR)目标成像仿真。( D-S evidence theory data fusion, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Synthetic Aperture Radar (SAR) imaging simulation target.)

Statistical Feature Extraction

潮汐调和分析，用于海洋专业，分析各分潮潮汐调和常数。(Tidal harmonic analysis for marine professionals to analyze the sub-tidal tidal harmonic constants.)

PID控制直流电机源码（simulink），可以直接运行。(PID control of DC source, can be directly run.)

说明：  lm算法的matlab程序，自己编的，不是库函数(lm algorithm matlab procedures, own, and not a library function)

自编比较全面的部分雷达信号编码，可自行修改使用，(Part of a more comprehensive self radar signal encoding, you can modify their own use,)