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Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model
  • ISSN号:1671-1815
  • 期刊名称:《科学技术与工程》
  • 时间:0
  • 分类:TP273[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]School of Science, Jiangnan University, Wuxi 214122, China, [2]School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
  • 相关基金:Project supported by the National Natural Science Foundation of China (No. 60973043) and the Natural Science Foundation of Jiangsu Province, China (No. BK20131109)
中文摘要:

Based on the work in Ding and Ding(2008),we develop a modifed stochastic gradient(SG)parameter estimation algorithm for a dual-rate Box-Jenkins model by using an auxiliary model.We simplify the complex dual-rate Box-Jenkins model to two fnite impulse response(FIR)models,present an auxiliary model to estimate the missing outputs and the unknown noise variables,and compute all the unknown parameters of the system with colored noises.Simulation results indicate that the proposed method is efective.

英文摘要:

Based on the work in Ding and Ding (2008), we develop a modifi ed stochastic gradient (SG) parameter estimation algorithm for a dual-rate Box-Jenkins model by using an auxiliary model. We simplify the complex dual-rate Box-Jenkins model to two fi nite impulse response (FIR) models, present an auxiliary model to estimate the missing outputs and the unknown noise variables, and compute all the unknown parameters of the system with colored noises. Simulation results indicate that the proposed method is effective.

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期刊信息
  • 《科学技术与工程》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国技术经济学会
  • 主编:明廷华
  • 地址:北京市学院南路86号
  • 邮编:100081
  • 邮箱:ste@periodicals.net.cn
  • 电话:010-62118920
  • 国际标准刊号:ISSN:1671-1815
  • 国内统一刊号:ISSN:11-4688/T
  • 邮发代号:2-734
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:29478