搜索资源列表
My_MVC
- 使用MVC模式和观察者模式实现画圆和计算面积、表面积-Use the MVC pattern and the observer pattern implementation Circle and computing area, surface area
WeatherStation
- 运用面向对象中的观察者模式，进行编写的简单的气象站-The use of object-oriented observer pattern, for the preparation of a simple weather station
Robot_inversion
- 基于神经网络观测器的单关节机械手反演控制。将估计速度代替实际速度，可实现无需实际速度信号检测的控制-Single-joint robot based on neural network observer inversion control. Instead of the actual speed of the estimated velocity can be achieved without the control of the actual speed signal detection
AbstractCursor_SelfContentObserverTest
- Self Content Observer Test for Linux v2.13.6.
obsever_chua
- an observer to show how an observer work
observer
- This package includes the simulation of "A class ofproportional-integral sliding mode control with application to active suspension system" that is a paper published in System&Control Lecture Journal.
cie-(2)
- CIE Chromaticity Diagrams CIE Standard Observer, Color Mstching Functions, CIE 1931, CIE 1960, CIE 1976 contains a complete CIE PLL Diagrams mapping programs, including support CIE Standard Observer, Color Mstching Functions, and the CIE 1931, the CI
adrc-ok
- 自抗扰控制器源代码,本系统由两个部分组成，分别是观测器，微分器-(adrc) source code，This system consists of two parts, respectively is the observer, differentiator yards
n
- 通过非线性扩张观测器可实现被控对象的位置、速度和未知部分观测。在实际控制工程中，可采用本观测器实现无需速度测量的控制，并实现对未知不确定性和外加干扰补偿-Through the expansion of nonlinear observer can realize the location of the controlled object, speed and unknown part of the observation. Can be used in actual control engin
android_test
- android下的观察者模式实现分享,通过按钮新建观察者，当被观察者状态变化的时候，所有的观察者都发生对应的改变-observer model in desgin code,under android
CAP6-(Sliding-Mode-Observers)
- ... ... ... sliding mode observer-............... sliding mode observer..................................................................................................................
OBMPC
- 这是基于观测器的DMC算法，可以和GPC算法进行比较，控制效果不输GPC算法-This is the DMC algorithm based on observer , and it can be compared with GPC algorithm ,it s control effect is better than GPC algorithm
dailibai
- 对二级倒立摆进行仿真，并且还添加了状态观测器后再继续观察-On the two level inverted pendulum simulation, and also added a state observer and then continue to observe
guanc
- 对安卓观察者模式的实现，在java的环境先实现其功能，对于想了解使用安卓的观察者模式是一个很好的鉴定。-Andrews observer mode to achieve, the environment in the first java achieve its function, for those who want to understand the use of Android is a good observer pattern identification.
BLDC_Mathmodel_emf
- 使用simulink软件，对无刷直流电机建立数学模型，并进行滑模观测器估算发电动势，建立整体仿真模型进行了准确分析。-The use of Simulink software, to establish the mathematical model of the brushless DC motor, sliding mode observer to estimate the power and momentum, the whole simulation model was set up fo
robot_final.tar
- 基于c++ 对State，Observer，Singleton设计模式的混合应用-C++ for State, Observer, Singleton design pattern based hybrid applications
matlab-simulink-Inverted-Pendulum
- 本论文中,以一级倒立摆为研究对象,对它的起摆以及稳定控制做了研究，主要研究工作如下: 1.首先介绍了倒立摆系统的组成和控制原理,建立了一级倒立摆的数学模型,对倒立摆系统进行定性分析,但在平衡点是能控的、能观的。 2.分析了倒立摆的起摆过程,对倒立摆的起摆能量反馈控制进行分析与说明。 3.在matlab2014a的simulink库下对倒立摆构造单级倒立摆状态反馈控制系统的仿真模型和构造具有状态观测器的单级倒立摆状态反馈控制系统的仿真模型。 4.对这次仿真的总结。-In this
Source
- TI cc2540 Observer 應用層源代碼-TI cc2540 Observer application layer source code
fangzhen_8
- 这是一个风力机的三阶模型，设计了该系统的状态观测器，构成了状态反馈矩阵。-This is the third order model of a wind machine, designed the system state observer, constitute state feedback matrix.
kalman_predict_correct
- 本例是使用kalman filter作为状态观测器，对直流无刷电机的状态进行观测。从结果可以看出，对状态估计的效果非常的好-This example is the use of kalman filter as an observer state, the state of brushless DC motors were observed. As can be seen the results of state estimation of the effect is very good