PID-Genetic-Algorithms

关于四旋翼飞行器的控制仿真，串级PID算法。有相关文献。(Control simulation of four rotor aircraft, cascade PID algorithm. There are relevant documents.)

说明：  一种新型的matlab生成随机线条的代码，用于后续处理(A new matlab code for generating random lines for subsequent processing)

LEACH协议的仿真代码，可以实现多点传输功能(leach protocol simulation code)

ECG signal feature extraction

做机器人路径规划或者避障的同学，该文档有很高的参考性。(The document has a high reference to the students who do robot path planning or obstacle avoidance.)

说明：  matlab 最近邻算法及文献，随时欢迎下载(matlab nearest-neighbor algorithm and literature, feel free to download)

有关于新手入门的 Arduino 手把手入门教程，适合于新手上路(Arduino hands-on introductory tutorial Getting Started suitable for Newbie)

基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.(Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida)

说明：  BP网络仿真实例参考:包含感知器网络设计实例及仿真源程序.(BP network simulation reference: contains examples of sensor network design and simulation source.)

optical flow algorithm