matlab

说明：  MATLAB编写的图形色彩绘制程序，功能十分强大(Written in MATLAB graphics color drawing program, a very strong function)

说明：  该程序展示出了多普勒压缩系数与距离之间的关系，也即显示出了单频矩形脉冲的距离分辨力。(The program demonstrates the Doppler compression factor and the distance between them and also that showed single-frequency rectangular pulse range resolution.)

不错的无刷直流电机仿真，霍尔信号，可以参考一下奥(A good brushless DC motor simulation Hall signal, you can refer to Austria)

pwm波形输出，用来产生20ms周期的pwm波，用来驱动舵机。(the output of pwm, it is helpful to the user.)

用Rosen梯度投影法求解约束多维函数的极值 用外点罚函数法求解线性等式约束多维函数的极值 用外点罚函数法求解一般等式约束多维函数的极值 用内点罚函数法求解约束多维函数的极值 用混合罚函数法求解约束多维函数的极值 用混合罚函数加速法求解约束多维函数的极值 用乘子法求解约束多维函数的极值 用坐标轮换法求解约束多维函数的极值 用复合形法求解约束多维函数的极值 (Rosen gradient projection method for solving constrained multi-dimensional functions the extremal with outside point penalty function method for solving linear equality constraints multidimensional function the extremal with outside point penalty function method for solving the general extremum with of equality constraints multidimensional function within point penalty function method for solving constrained multidimensional function extremum with mixed penalty function method for solving constrained multidimensional function extremum with mixed penalty function acceleration method for solving constrained multidimensional function extremum multiplier method for solving constrained multidimensional function extremum with coordinate alternation method for solving constrained the multidimensional function extremum complex method for solving constrained multidimensional function extremum)

EMD完整工具箱，可以在MATLAB环境下运行，适合于故障诊断中的信号处理。(EMD complete toolbox, you can run in the MATLAB environment, signal processing for fault diagnosis.)

Control laboratory. Lab Course

matlab code generates egarchmodel

MPC模型预测控制算法，包括有约束和无约束模型预测控制MATLAB仿真(MPC model predictive control algorithm, including constrained and unconstrained model predictive control MATLAB simulation)

说明：  RRT 的思想是快速扩张一群像树一样的路径以探索（填充）空间的大部分区域，伺机找到可行的路径。(The idea of RRT is to rapidly expand a group of tree-like paths to explore (fill) most areas of space, waiting for the opportunity to find feasible paths.)