QMUL_cma

利用MATLAB的SIMULINK进行仿真的前馈控制系统仿真源码(The simulation using MATLAB SIMULINK feedforward control system simulation source)

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,

可以动态调节运行环境的参数，GSM中GMSK调制信号的产生，音频信号通过LM386放大。( Can dynamically adjust the parameters of the operating environment, GSM is GMSK modulation signal generation, LM386 audio signal amplification.)

说明：  各种数据处理的基本算法，包括最小二乘，和各种算法与最小二乘的算法融合(Basic Algorithms for Various Data)

Matlab source for blind classification of EEG data (BCI competition II data set IV)

copulas参数估计方法的源代码。copulas为一种统计方法。(copulas parameter estimation method of the source code. copulas is a statistical method.)

The program in Simulink to generate turbo codes

matlab相關教學書籍matlab相關教學書籍matlab相關教學書籍(proficient MATLAB)

机动目标“当前”统计模型及其自适应算法的仿真程序，包含与Singer模型的对比，周宏仁一书第八章上有理论内容。(kalman filter, Singer Model, self-adjusting algorithm)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)