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program simulates the electrostatic precipitator behaviours, developed in simulink toolbox of matlab.

rocket source code matlab code

DFT和FIR宽带波束形成源程序 可以自行设置参数 如载频强度 入射角度 信噪比等(DFT and FIR broadband beamforming source code can set the parameters such as the intensity of the incident angle of the carrier frequency signal to noise ratio, etc.)

部分实现了追踪测速迭代松弛算法，matlab开发工具箱中的支持向量机，主要是基于mtlab的程序，通过反复训练模板能有较高的识别率，利用贝叶斯原理估计混合logit模型的参数，BP神经网络用于函数拟合与模式识别，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( Partially achieved tracking speed iterative relaxation algorithm, matlab development toolbox support vector machine, Mainly based on the mtlab procedures, Through repeated training jSOURGDlate have higher recognition rate, Bayesian parameter estimation principle mixed logit model, BP neural network function fitting and pattern recognition, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)

ofdm通信系统的Matlab仿真程序,我在网上淘了很久才搞到(OFDM communication system Matlab simulation program, I am online for a long time to get Amoy)

Matlab Simulation FilesMatlab Simulation Files(Matlab Simulation Files)

Robot arm rotation. Rotation of 3 axial platform, simple task but it was fun. Play with it do whatever you want. Enjoy!!

利用matlab进行fcm聚类算法，实现数据的聚类(FCM clustering algorithm )

This is the demo file for Rhors counter example: adaptive control for system with unmodeled dynamics, which show the lack of robustness of the traditional MRAC. DoSims.m: This script initializes the model parameters, run the simulation, and plot all the results automatically. L1Model_Rohrs.mdl:the implementation of L1 adaptive controller. MracModel_Rohrs.mdl: the implementation of the traditional MRAC. Refer to the following papers for background: C.E. Rohrs, L. Valavani, M. Athans, and G. Stein, "Stability Problems of Adaptive Control Algorithms in the Pressence of Unmodeled Dynamics", 21st Conference on Decision and Control, Dec 1982. Enric Xargay, Naira Hovakimyan and Chengyu Cao, "Benchmark Problems of Adaptive Control Revisited by L1 Adaptive Control", International Symposium on Intelligent Control and 17th Mediterranean Conference on Control and Automation, Thessaloniki, Greece, June 24-26, 2009, pp. 31-36.

recursive least squares learning algorithm in fuzzy system