SBM

a simulink model for hybrid electrical vehicule

清华大学张雄网格法书中程序，MATLAB版本，均经过测试。助你快速掌握并应用无网格法(Tsinghua University, Zhang Xiong grid method book programs, MATLAB version, are tested. Help you quickly grasp and apply the no-grid method)

无刷直流电机混沌吸引子，q、d轴电流与电机转子相位图(Brushless DC motor chaotic attractors, q, d-axis current and the motor rotor phase diagram)

说明：  遗传算法，分为个7个子函数：分别为编码、解码、选择、交叉、变异、目标函数和总调用。有详细的注释。(Genetic algorithm, into a seven sub-functions: respectively, encoding, decoding, selection, crossover and mutation, the objective function and the total calls. There are detailed notes.)

Hybrid Particle Swarm Optimation Algorithm. This file is helpful someone who want to optimatize data.

pca主元分析提取出过程中最能表征系统特征的部分，对过程进行故障监测(pca is used to predict filture)

偏微分方程的matlab解法，详细讲解了使用该工具求解偏微分方程的方法和途径，是一本很有价值的参考书(Solution of partial differential equations matlab, detailed account of the use of the tools for solving partial differential equations of the ways and means, are a valuable reference book)

教你怎样吹笛子：详细介绍了竹笛的基本吹奏法和详细技巧，内有五十首练习曲，李小逸编著 (Teach you how to play the flute: flute introduces the basic skills of playing methods and detailed, the Fifty Etudes, Li Xiaoyi ed)

analysis( graphical and parametric ) of 1st-order , 2nd-order & nth-type systems (This Program Includes :::::::::::: 1:: Analysis of 1st order systems for 1.step signal ,2.ramp signal, 3. Accelaration signal. 2:: Analysis of 2nd order systems for 1.step signal, 2.ramp signal. 3:: Frequency analysis of 2nd order systems. 4:: Steady State Error Analysis of "0th" , "1st" , "2nd" type systems. 5:: Performance Indices of a System. )

粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 (Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation )