NCSCIT01_086_1815459

说明：  to slov ODE with matlab

为了平衡粒子群算法的全局搜索能力和改良局部能力，采用非线性的动态惯性权重即自适应权重法。给出一个用自适应权重的粒子群算法求多元复杂函数的最小值实例。(To balance the PSO global search capability and improved local capacity, the use of non-linear dynamic adaptive inertia weight that the weighting method. Gives an adaptive weights PSO seeking the minimum of multiple instances of complex functions.)

如何应用matlab 解决mpc问题 入门指导书籍 有几个小例子 用程序或者用GUI 工具都有(How to apply matlab solve mpc Getting Started guide books several small example program or GUI tools)

计算多重分形非趋势波动分析，包括回归分析和概率统计，用于时频分析算法。( Calculate the multifractal trend fluctuation analysis, Including regression analysis and probability and statistics, For time-frequency analysis algorithm.)

说明：  C+陷阱与缺陷,适合于各个阶段的学习者学习!(C+ traps and defects, suitable for all phases of learners!)

说明：  基于小波变换的图像分解与重构，实验效果明显，在matlab中实现(Based on wavelet transform image decomposition and reconstruction of the experimental effect, in Matlab)

三相逆变变换器 采用dq控制 双闭环控制 采用SVPWM的控制方法(Three phase inverter DQ control using double closed loop control of Simulink model SVPWM VSI modulation control)

说明：  该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势(the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

reighlay信道仿真 使用reilaychan函数(reighlay channel simulation)