msf_cybership_ii

ANother file containing some exercices about digital image processing

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

基于遗传算法BP神经网络优化的DIP控制(BP neural network based on genetic algorithm optimization DIP control)

Coordinated Guidance of Autonomous UAVs via Nominal Belief-State Optimization

电力电子与MATLAB应用技术 网上辛苦找的 还是蛮有用的(MATLAB application of power electronics technology and the Internet' s still quite hard to find used)

自控原理的跟随示意原理，这个是M文件，可以直接用S函数实现，还可以看波形(Follow a schematic principle of automatic control theory, this is the M-file S function directly, you can also see the waveform)

最小二乘法形函数及其应用包括函数模拟绘图(the least square )

一些关于svpwm的论文，有仿真的，也有设计逆变器的，大部分是网上收费的(SVPWM on paper, have the simulation, but also has the design of inverter, the majority of Internet charges)

It is Function generates CA codes for all 32 satellites based on the settings

通过大规模求解超越方程组给出颗粒体系共振关系中的虎纹斑图形，全部运行时间约40秒(Through large-scale solution of equations gives the particles beyond the resonance relations system tiger spot graphics, run all the time about 40 seconds.)