application-of-copula

有关遗传控制算法在MATLAB中针对典型二阶对象进行仿真得到阶跃响应。 (MATLAB)

处理信号的时频分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，最小均方误差（MMSE）的算法。( When processing a signal frequency analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Minimum mean square error (MMSE) algorithm.)

说明：  汽车电子节气门控制器仿真设计 matlab simulink(Simulation of automotive electronic throttle controller design matlab simulink)

不确定线性脉冲控制系统的程序，例子和程序都在压缩包里面。(Uncertain linear pulse control system procedures , examples and procedures are in the compressed packets inside .)

通过稳态图来识别对机械机构的振动信号，用有理分式多项式法进行模态参数识别(By steady-state map to identify rational fraction polynomial method of mechanical vibration signal, modal parameter identification)

This function creates a figure with multiple Tabs.The number of tabs can be changed and they are distributed evenly across the top of the figure. Content is provided for the first 5 tabs to demo the program. The demo uses the screen size to adjust the size of the figure.

CAP06 - AC Transmission - Power System Stability and Control - P. Kundur

非线性遗传算法的典型实例 基于matlab进行仿真实现的典型实例(Typical example of a typical example of nonlinear genetic algorithm based on Matlab Simulation)

TWISTER Uniformly distributed pseudo-random numbers

针对实际工业生产中常见的多输入多输出时滞过程, 构造多变量Smith预估控制结构, 提出基于对象模 型伴随矩阵的解耦器设计方法. 通过对解耦后对象的幅频和相频特性分析, 获得对象的简化一阶数学模型. 根 据Smith预估控制结构闭环特征方程的特点, 利用Butterworth滤波器极点配置的原理, 对解耦后的多变量时滞过程 设计PI控制器. 结合实际过程中常见的不确定性, 分析了控制系统保证鲁棒稳定性的充要条件. 最后以实例验证了 本文所提方法的优越性.(The decoupling Smith control method is presented for multi-input-multi-output system with time-delays which are often encountered in practical engineering. A new method for designing the decoupler based on the adjoint matrix of the multivariable system model with time-delays is proposed. By analyzing the amplitude-frequency and phasefrequency characteristics of the decoupled model, the decoupled model is reduced to a first-order model with time-delay. According to the closed-loop characteristic equation of Smith predictor structure, a PI controller is developed by using the principle of pole assignment for Butterworth filter. Sufficient and necessary conditions for robust stability are derived for adaptive and multiplicative uncertainties commonly occurred in practice. Simulation results show the superiority of the proposed method.)