matlabhelpcn

bpsk莱斯信道衰减simulink的仿真(bpsk_mp_rician_fading)

说明：  该文件用ＭＡＴＬＡＢ实现了一个人工神经网络的预测算法(MATLAB an artificial neural network prediction algorithm)

Making Cylinder code for matlab using top and bottom point with radius

说明：  用栅格模型表示工作环境,确定机器人运动起始结点和目标结点后,对工作环境进行分析,选取起始点与目标点之间连线附近的若干栅格,以被选取栅格为关键点,采用蚁群算法分别计算关键点与起始点和目标节点之间的最短路径,求取全局最短路径(With grid model to represent the working environment, robot motion after initial nodes and target, analysis of working conditions, selecting starting point and the target point near the connection between a number of grid, grid for the key points to be selected, key point and the starting point is obtained by using the ant colony algorithm respectively and the shortest path between the target node, calculate the global shortest path)

倒立摆模型的局部线性化 设倒立摆的摆角范围为[-15,15]度，摆角角速度范围为[-200,200]度/秒，摆角角加速度范围为[-200,200]度/秒2，采用三角形隶属函数对摆角和摆角角速度进行模糊化，摆角初始状态为[0.2,0]。 (Inverted pendulum model of the local linear-based inverted pendulum swinging angle of the range of [-15,15] degrees angle angular range of [-200,200] degrees/sec, angular acceleration angle range of [-200,200] degrees/sec 2, the use of triangular membership function of the pendulum angle and angular velocity fuzzy angles, and angles for the initial state [0.2,0].)

说明：  一个多输入多输出（mimo)系统的仿真matlab程序，希望对大家有所帮助(a multi-input multi-output (MIMO) systems Matlab simulation procedures, we hope to help)

AN EXCELLENT DC MOTORS SPEED CONTROLLING BY ZIEGLAR NICHOLS PID TUNING

matlab 提取 txt点云的边界，(txt point cloud boundary extraction Matlab,)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)

a matlab code about estimating model order with AIC criteria in modeling