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2012 (Vol. 4, Issue: 23)
Article Information:

Model Following Predictive Control for Network Congestion System

Dazhong Wang, Shujing Wu, Liqiang Zhang and Akiyama Takao
Corresponding Author:  Dazhong Wang 

Key words:  Model following control system, network congestion system, nonlinear system, time delay, , ,
Vol. 4 , (23): 5298-5303
Submitted Accepted Published
May 30, 2012 June 21, 2012 December 01, 2012
Abstract:

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.
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  Cite this Reference:
Dazhong Wang, Shujing Wu, Liqiang Zhang and Akiyama Takao, 2012. Model Following Predictive Control for Network Congestion System.  Research Journal of Applied Sciences, Engineering and Technology, 4(23): 5298-5303.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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