ex1

Adaptive_Kalman_filter which you can use it in the INS

此文件很好的讲解了模糊PID方面的问题，帮助大家较快的掌握模糊PID.(This file is a good explanation of the problem of fuzzy PID, help faster grasp blurred the PID.)

编写的有关解方程的函数，初学者可以参考！！！(Solving equations)

将图像分为nxn的分块,之后将各分块三个颜色通道的直方图平均化,最后进行离散余弦变化,分别提取各通道低频系数(The image into nxn sub-block after block of all three color channels of the histogram equalization, and finally the discrete cosine change, were extracted from the low frequency coefficients of each channel)

PRBS序列，也即M序列，用于系统辨识。(PRBS sequence signal used in system identification)

介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,(Gaussian regression problem introduced in the application process, CE Rasmussen & CKI Williams, Gaussian Processes for Machine Learning,)

说明：  simulink初学者快速入门的好帮手，我开始就是学的这个，很快入门(good)

the modeling and control of a photovo/taic system is presented. A maximum power point tracking (MPPT) algorithm is adopted to maximize thephotovotaic output power. The proposed approach for peakpower tracking using the sliding mode control is robust to environment changes (irradiance and temperature).

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

利用matlab的simulink进行两杆的工作空间仿真(workspace simulation using matlab)