Prediction of Network Utilization Based on ARMA Model and RELS

Hui Zhang; Fang He; Chun Yan Han

doi:10.4028/www.scientific.net/AMR.945-949.2780

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Prediction of Network Utilization Based on ARMA...

Prediction of Network Utilization Based on ARMA Model and RELS

Abstract:

This paper focused on predictive algorithm of network utilization for networked control system (NCS). Auto-Regressive and Moving Average (ARMA) model was presented for general network utilization, which with fixed constant and known white noise. ARMA model parameters are estimated using parameter estimation algorithm of Recursive Extended Least Squares (RELS). Finally, a simulation example was given to realize RELS of ARMA model. Predictive output of network utilization can be obtained and converge to real state.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

2780-2783

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.2780

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Online since:

June 2014

Authors:

Hui Zhang, Fang He*, Chun Yan Han

Keywords:

ARMA (Auto-Regressive and Moving Average) Model, Network Utilization, Networked Control System (NCS), RELS (Recursive Extended Least Squares)

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* - Corresponding Author

References

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