GNLS_Uebung1_MATLAB

一个在matlab下编写的关于机器人路径规划的小程序(A matlab prepared on a small robot path planning process)

煤气炉温度控制系统设计，包括比较、串级控制、单回路控制和复回路控制。(The gas temperature control system design, including comparison, cascade control, single loop control and complex circuit control)

实现PD雷达测速及测距的仿真,通过手动或文件设置目标速度及距离，仿真实现PD雷达利用多普勒效应测速及测距的过程。(the simulation of the range and velocity measurement of the PD Radar)

this code explain how to detect the palmprint to facilate identification and verification of palmprint

1.纽马克算法，振动分析方法，计算多自由度系统振动响应，位移，速度，加速度 2.用于计算多自由度系统固有频率、固有振型、模态质量、模态刚度矩阵、正则模态向量、受迫响应振动 3.里兹法是一种缩减系统自由度的近似方法，用于多自由度系统的求解 4.庞加莱截面图法，用来对多变量自治系统的运动进行分析 5.频谱图法，用于系统的频域分析 6.线加速度法求解系统振动响应 7.雨流计数法，主要用于工程界, 特别在疲劳寿命计算中运用非常广泛，对载荷的时间历程通过计数的过程反映了材料的记忆特性(1. Newmark algorithm, vibration analysis method to calculate multiple degrees of freedom system vibration, displacement, velocity, acceleration 2. Multi-DOF system for calculating the natural frequencies, mode shapes, modal mass, modal stiffness matrix, normal modes state vector, forced vibration response 3. Ritz method is an approximate method to reduce the degrees of freedom for multi-degree of freedom systems solving 4. Poincare sectional view method for multivariable autonomous motion system are 5. the spectrum analysis method for frequency domain analysis system 6. the method for solving linear acceleration system vibration 7. the rain flow counting method, mainly used in engineering, especially used in the calculation of the fatigue life of a very wide range of load time through the course of the process of counting it reflects the memory characteristics of the material)

The above matlab code include the simulation of dipole antenna and current distribution using standard algorithm

Computational Building Physics and Systems 4

扩展有限元XFEM，结构断裂分析的扩展有限元法(EXTENDED FINITE ELEMENT METHOD for Fracture Analysis of Structures)

使用Matlab实现的关于主分量分析PCA的方法的案例，可先实现仿真(Matlab achieved using principal component analysis PCA on the case method, the simulation can be achieved)

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)