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协作通信系统的仿真 matlab仿真例程(Cooperative sensing communication system )

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.)

很强大的matlab求解,供大家交流欣赏或者直接引用到论文中(matlab so good,I upload here for those who want to communicate and who carve for knowledge)

说明：  matlab 软件编程学习教程Stephen J. Chapman 著(matlab software programming tutorials to learn of Stephen J. Chapman)

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and
1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.

Conjugate Gradient Method in matlab

这个是我数字信号处理这门课的课程设计,文件包括用matlab编写的代码和设计报告.这个设计包括卷积演示程序、采样定理演示程序、模拟滤波器设计演示程序、设计切比雪夫I型低通滤波器、切比雪夫I型低通滤波器、双线性变换法设计巴特沃斯低通数字滤波器、用凯塞窗设计高通滤波器.(This is my digital signal processing the course of the curriculum design, preparation of documents including the use of matlab code and design report. Convolution demonstration of this design include the procedures, sampling theorem demo program, analog filter design demo program, design Chebyshev-I low-pass filter, Chebyshev type I low-pass filter, bilinear transform design Butterworth low-pass digital filter with Kaiser window design high-pass filter.)

说明：  光学夫朗和费衍射现象模拟Matlab源代码 (Optical phenomenon of Fraunhofer diffraction simulation Matlab source code)

1.题目：数字滤波器的设计与应用 2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中 的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。 3.具体步骤： （1）构造原始信号s(t) （2）画出s(t)的频谱 （3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性 （4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性 （5）用三路信号s1,s2,s3尝试重新合成原始信号 4.问题：为什么重新合成的信号和原信号不相等呢？谁能解释一下？谢谢,QQ:664519036( 1. Title: Digital Filter Design and Application 2. Design requirements: use of Matlab software to composite signal separation, for example, on "Digital Signal Processing" course Of the spectral analysis, digital filter design and signal filtering process carried out three Simulation, the simulation results. 3. Concrete steps: (1) construct the original signal s (t) (2) Draw s (t) of the spectrum (3) design ellipse digital filter (IIR), including low pass, band pass, band pass, and shows amplitude-frequency characteristics (4) filtering with a filter obtained by the isolation of three signals, observed time-domain waveform and frequency characteristics (5) with a three-way signal s1, s2, s3 try to re-synthesis of the original signal 4. Question: Why is re-synthesized signal and the original signal is not equal to it? Who can explain? Thank you, QQ: 664519036)

Model Reference Adaptive Control