For2008a_2

对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取(Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

model predictive control lmi tutorial

MIMO 最优天线选择算法，即穷举搜索方法(Optimal MIMO antenna selection algorithm,is also the exhaustive search method)

This code is used to dam-break problem in varied domain

说明：  为了了解地震波的传播，用有限差分对二维声波传播进行模拟(Solving wave wave equation with finite difference)

现有的PID参数优化方法往往难以同时兼顾系统对快速性、稳定性与鲁棒性的要求，本文针对这一缺陷，提出了一种多目标PID优化设计方法——在满足系统的鲁棒性的前提下，以超调量、上升时间和调整时间最小作为多目标优化的子目标，并将NSGA-Ⅱ与PGA相结合对其求解。该算法求得的Pareto最优解分布均匀，收敛性和鲁棒性好，决策者可根据实际系统的要求在Pareto解集中选择最终的满意解，这为快速性、稳定性与鲁棒性的权衡分析提供了有效的工具。仿真结果表明本文设计方法的有效性和优越性。()

将状态矢量转换成轨道根数的Matlab源程序，输入是位置速度矢量，输出是轨道根数，有详细的注解(Convert the state vector of the orbital elements of the Matlab source code, enter the location of the velocity vector, the output of the orbital elements, with detailed comments)

code for sattelite calculaton

i need code for matlab