OMDS-V1

说明：  故障检测的无人升机作动器重构控制Unmanned Helicopter based on fault detection reconfigurable control actuator(Unmanned Helicopter based on fault detection reconfigurable control actuator)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

Optimal Component Selection Using Mixed-Integer Genetic Algorithm

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。(That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estimation.)

一个EKF调试程序，主要是调用simulink的数据，并通过EKF来模拟在线仿真的效果(An EKF debugger, mainly call simulink data, and through EKF online simulation to simulate the effect of)

jedinicni impuls dirakov koj se koristi za pobudjivanje signala na ul azu her je dirakov impuls impuls beskonacno kratkog trenutka trajanja

说明：  vc与matlab混合编程的具体实例，通过vc编译器调用matlab编译的.m文件。(vc mixed with Matlab programming specific examples, vc call Matlab Compiler compiled. M documents.)

采用Bfgs算法解决光滑的半监督支持向量机，并采用不同的光滑函数进行比较(Using Bfgs algorithm to solve the smooth semi-supervised support vector machines, and using smooth function to compare different)

simulink model for a medium to low voltage electricity grid containing sources,transformers lines and loads with all needed measurments