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Abstract
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Article Information:
Model Following Predictive Control for Network Congestion System
Dazhong Wang, Shujing Wu, Liqiang Zhang and Akiyama Takao
Corresponding Author: Dazhong Wang
Submitted: May 30, 2012
Accepted: June 21, 2012
Published: December 01, 2012 |
Abstract:
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The goal of congestion control is to avoid congestion in network elements. This study derives an
MFCS (Model Following Control System)-based control methodology for networks congestion system.
The features of this design method are: Bounded property of the inner states for the control system is given
and the utility of this control de because there is no necessary to make transformation of this system; It is
confirmed on basis of a sign is guaranteed; Both the physical structure of the system and the physical
system variables properties can be preserved because there is no necessary to make transformation of this
system. It is confirmed on basis of a numerical example of the network congestion system that the output
signal of the control system asymptotically follows the reference model signal in the case of the existence
of disturbances.
Key words: Model following control system, network congestion system, nonlinear system, time delay, , ,
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Cite this Reference:
Dazhong Wang, Shujing Wu, Liqiang Zhang and Akiyama Takao, . Model Following Predictive Control for Network Congestion System. Research Journal of Applied Sciences, Engineering and Technology, (23): 5298-5303.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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