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IEEE research paper for m.tech students

Static system analisy

通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)

把数据从text文件中分离并生成矩阵，同时显示text中的文字(Data from text files and generates separate matrix, while the text display text)

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

本程序采用自相关法求混沌时间序列重构的时间延迟。(This procedure using the autocorrelation method for chaotic time series reconstruction time delay.)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

感应双馈发电机系统的仿真，基于小波变换的数字水印算法matlab代码，计算多重分形非趋势波动分析matlab程序。( Simulation of doubly fed induction generator system, Based on wavelet transform digital watermarking algorithm matlab code, Calculation multifractal detrended fluctuation analysis matlab program.)

支持向量机的MATlab工具包，很有用，也很复杂，没有功底的，就别下了(SVM MATlab kit, useful, and very complex, there is no foundation for, do not down)

对copula－t模型参数的估计,基于matlab程序(the estimation of copula-t,based on matlab)