hingkui_v49

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

对MATLAB，SIMULINK的信号源频谱分析进行了讲解(On MATLAB, SIMULINK signal source spectrum analysis was to explain)

告诉支路阻抗的节点导纳矩阵求解的通用程序。(Tell branch node is the impedance matrix of the general program admittance)

自适应滤波 开发环境：ccs3.1 设置事项：project-build options-linker-stack options 500 (adaptive filtering development environment : ccs3.1 set matters : project-build options-linker-stack options 500)

用matlab实现拟合的几个例子源码， ％x,y应是原始数据，下面的数据仅是为了说明问题而自设的示例数据。(The fitting of several examples of source code with the matlab, x, y should be the original data, the data is only to illustrate the problem, since the set of sample data.)

在MATLAB下使用Doolittle算法对矩阵进行LU分解(Doolittle algorithm in MATLAB using the matrix LU decomposition)

电网短路故障下LCL型光伏并网逆变器控制(LCL photovoltaic power grid short-circuit fault and network inverter control)

可行点标记求最佳匹配算法的MATLAB 程序代码 求最小费用最大流算法的MATLAB 程序代码 匈牙利算法的MATLAB 程序代码 遗传算法解决TSP问题的Matlab程序 遗传算法解决非线性规划问题的Matlab程序 (Feasible point marking the best matching algorithm for the MATLAB code for the minimum cost maximum flow algorithm of the MATLAB program code Hungarian algorithm MATLAB code genetic algorithm to solve TSP problems Matlab procedures for genetic algorithm to solve nonlinear programming problems Matlab procedures)

解方程，可为相关学习者或者matlab独立编程人员提供参考(Solution of equation for the relevant independent learners or matlab programmers reference)

说明：  利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)