ABdemo

depso clustering algorithm written in matlab

地震 用神经网络自适应竞争系统实现 等级的显示(Earthquake adaptive neural network competition level display)

利用BP网络对非线性系统进行辨识，同时，利用模型参考自适应方法，设计NNMARC控制器(BP network identification of nonlinear systems, at the same time, the use of model reference adaptive method, design NNMARC controller)

< 超宽带无线电基础>>的第八章原代码,主要用于超宽带无线电信号波形的产生信道估计\扩频通信等等,内容非常丰富.()

本程序是在matlab的开发环境下，利用对指纹图像进行分类识别(This procedure is a development environment in matlab using the classification of fingerprint images to identify)

自适应GPC算法，当被控对象参数未知或慢时变时，采用参数估计算法，在线估计出被控对象的参数，然后用参数估计值代替真实值进行控制律的推导。(Adaptive GPC algorithm, when the charged object is unknown or slowly time-varying parameters, the use of parameter estimation algorithms, on-line estimate the parameters of the controlled object, then use the parameter estimates instead of real value to the control law derivation.)

一篇非常优秀的论文：合成孔径雷达成像matlab仿真，附PDF和源码。 (Synthetic Aperture Radar Imaging Simulated in MATLAB（PDF and Matlab code）)

GSM simulation in simulink. composd of encoder and decoder. but it is not completed

This report considers trajectory planning with constrained dynamics and design of an appropriate feedforward controller for single axis motion control. A motivation is given for using model-based fourth order feedforward with fourth order trajectories. An algorithm is given for calculating higher order trajectories with bounds on all considered derivatives for point to point moves. It is shown that these trajectories are time-optimal in the most relevant cases. All required equations for third and fourth order trajectory planning are explicitly derived. Implementation, discretization and quantization effects are considered. Simulation results show the superior effectiveness of fourth order feedforward in comparison with rigid-body feedforward

plotting 3d scope in matlab simulink