Prediction of Network Utilization Based on ARMA Model and RELS

Autor:	Fang He, Hui Zhang, Chun Yan Han
Rok vydání:	2014
Předmět:	Parameter estimation algorithm Engineering business.industry Moving average Control theory General Engineering Autoregressive–moving-average model White noise Networked control system State (computer science) business Recursive extended least squares Constant (mathematics)
Zdroj:	Advanced Materials Research. :2780-2783
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.945-949.2780
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::931d7ae2a2e7d4446af82ed474351c77 https://doi.org/10.4028/www.scientific.net/amr.945-949.2780 Zobrazit plný text záznamu