mian5

运筹学中利用MATLAB实现分支定界算法的实现，其中求最优解利用linprog函数实现

EtherCAT在AM335x上面如何实现介绍(EtherCAT On AM335x)

two case distribution-system mfile

数值分析上机作业参考答案的第一次上机作业(Numerical analysis on the answer machine operation the first reference work on the machine)

是电力系统的IEEE标准算例的OPENDSS编写好的额程序，里面包含有短路算法(Is the IEEE standard power system operator OPENDSS writing good example of the amount of the program, which contains the shortest path algorithm)

mathematica code for gaussian horn design. It can give the exact shape of gaussian for specific material, especially helpful for ultrasonic horn design.

将偏差的比例、积分、微分通过线性组合构成控制量，对被控对象进行控制(The deviation of the proportional, integral, differential control volume through the linear combination of form, to control the controlled object)

说明：  无刷直流电机的matlab/simulink建模(BLDCM the matlab/simulink modeling)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

实现在MATLAB环境中产生三角函数的画图功能(Generated in the MATLAB environment to achieve the drawing trigonometric functions)