MFSK

Short M-LAb robotics localize

最小二乘法根据历史输入输出值辨识参数曲线(Identification of parametric curves least squares method based on the historical value of the input and output)

微卫星SSR基本数据分析常用软件，功能比较强大，具有通用性(Microsatellite SSR commonly used basic data analysis software, the function is stronger, is versatile )

极化SAR定标处理matlab程序，采用Quegan算法(Polarization SAR processing matlab calibration procedures, the use of Quegan algorithm)

自己编程的matlab成绩查询系统，能实现对.txt以及.xls等多种文件格式的读取，并通过mcc命令转化为可执行文件。压缩包内含所有源码。(Own programming matlab query system can achieve right. Reading txt and. Xls and other file formats, and through the mcc command into an executable file. Archive contains all the source code. .)

扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→C ， A A − r = kC 其反应速率常数k = 2×10− 7 s− 1。 (Diffusion system of concentration reference device shown in Figure 3. Tube in the store still liquid B, L = 10 cm height, placed in full A gas environment. Assuming the contact surface of the liquid with the B concentration of 3 C 0 0.01mol m A =, and this concentration does not change with time and change, that is, the operating time (h = 10 days) to maintain constant. Gas A in liquid B, the diffusion coefficient D ms AB = 2 × 10-9 2. Decided the following two test cases, the gas dissolved in liquid B in the A liquid (flux). (A) A and B do not react (b) A and B of the following reaction occurs A+ B → C, AA- r = kC, the reaction rate constant k = 2 × 10-7 s-1.)

matlab实现互现关运算,并采用雅克比——约当法实现逆矩阵的运算，在matlab下测试通过。(Complete correlation and invmaxwith matlab)

卫星姿态控制仿真，包括卫星轨道建模、卫星运动学、动力学建模，跟踪律计算(Satellite attitude control simulation, including satellite orbit modeling, satellite kinematics, dynamic modeling, tracking law calculation)

说明：  使用matlab语言编程的布谷鸟算法对测试函数进行优化测试(Using the cuckoo algorithm programmed by MATLAB to optimize the test function)

里面有灰色预测模型的matlab程序，只需输入数据即可，调试成功，可运行。(There are gray prediction model matlab program, you can simply enter the data, debugging success, can be run.)