WDM EPON system modeling and simulation based on OPNET

2006 ◽  
Author(s):  
Hui Wang ◽  
Baomin Hu ◽  
Deming Liu ◽  
Hai Liu
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Simulation Based

Hydraulic Control System Modeling and Simulation Based on the MSC. Easy5

2012 ◽  
Vol 619 ◽  
pp. 435-438
Author(s):  
Li Jun Luan ◽  
Xiao Miao Qi ◽  
Ji Yong Ni
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
System Modeling ◽  
Vertical Shaft ◽  
Hydraulic Control ◽  
Simulation Based ◽  
Simulation Parameters ◽  
Hydraulic Control System

This paper creates the model of the hydraulic control system and does simulation by using powerful function of modeling and simulation of MSC. Easy5. To help support the equipment of the hydraulic control system Vertical Shaft for example Firstly, creates the model of the Vertical Shaft hydraulic control system through the software MSC. Easy5. Secondly, input relevant simulation parameters and do simulation. Finally, analyze the results of simulation.

Key Technologies of Rigid-Flexible Coupling System Modeling and Simulation

2014 ◽  
Vol 599-601 ◽  
pp. 652-655 ◽  
Author(s):  
Shao Jun Bo ◽  
Hao Zhu ◽  
Qing Huai Ye
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Flexible Coupling ◽  
Simulation Speed ◽  
Coupling System ◽  
Simulation Based ◽  
Key Technologies ◽  
Quantitative Basis ◽  
Multi Body ◽  
Working Device

We studied key technologies of the rigid-flexible coupling systems modeling and simulation based on the theory of multi-body dynamics and virtual prototyping technology. The study proposed concrete measures to ensure the accuracy of the simulation to short the simulation time and improve simulation speed. It greatly improved the reliability and interoperability of research used three software UG, Ansys and Adams on rigid-flexible coupling system and found the existing issue of key parts of the design department, provided a strong quantitative basis for optimizing the loader working device.

Study of System Modeling and Simulation Based on Mixed Domain for Analog-Digital Mixed SoC

2013 ◽  
Vol 423-426 ◽  
pp. 2688-2692
Author(s):  
Jun Deng ◽  
Liang Zhou ◽  
Xiao Zong Huang ◽  
Xu Huang ◽  
Yu Jing Li ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Simulation Platform ◽  
Behavioral Models ◽  
Behavioral Simulation ◽  
Design Reliability ◽  
Simulation Based ◽  
Design Cycle ◽  
Ip Module

The design of digital-analog mixed SoC involves RF/analog and digital domains, how to effectively improve the design reliability and to reduce the development cycles has become a research hotspot. This paper establishes the appropriate behavioral models of RF / analog / digital IP modules, and carries out the behavioral simulation based on the built mixed-domain simulation platform and the behavioral libraries of RF/analog/digital IP module, which enhances the reliability and stability of mixed SoC design, and reduces the design cycle. Those explorations may be helpful to the designers of digital-analog mixed SoC.

Multi-Domain Modeling and Co-Simulation Based on Modelica and Simulink

2014 ◽  
Vol 596 ◽  
pp. 927-930
Author(s):  
Guang Shu Tian ◽  
Li Chen Zhang
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Collaborative Work ◽  
Simulation Software ◽  
Simulation Tool ◽  
Domain Modeling ◽  
Simulation Environment ◽  
Simulation Framework ◽  
Simulation Tools ◽  
Simulation Based

A co-simulation solution based on multi-domain modeling with Modelica is proposed to achieve the co-simulation of multi-domain modeling and simulation environment with other simulation environment . Based on the connection mechanism of multi-domain Modelica models the co-simulation under S-function co-simulation framework is implemented using the converting principle between Modelica models and Simulink modules. A co-simulation example between MWorks which is a multi-domain physical system modeling and simulation tool based on Modelica and AMESim indicates that the method can extend the application of Modelica models and achieve the collaborative work with multi-domain modeling and simulation tools and other simulation software.

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