Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

Two-phase closed-loop system identification method based on the auxiliary model

Jie Jia
  • Jie Jia
  • College of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.
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Jiao Cao
  • Jiao Cao
  • College of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.
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Yong Yang
  • Yong Yang
  • School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330032, China.
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Zhiteng Liu
  • Zhiteng Liu
  • College of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.
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Shuying Huang
  • Shuying Huang
  • School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang 330032, China
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  •  Received: 03 January 2013
  •  Accepted: 31 July 2013
  •  Published: 15 May 2014

Abstract

The two-stage recursive extended least squares parameter estimation algorithm based on the auxiliary model of a class of closed-loop identification system model is presented in this paper. The basic idea of the algorithm is a combination of the auxiliary model identification ideas and the decomposition technique in which the closed-loop system is converted to a two-step process and each step identified model is an open-loop system. The more mature open-loop identification method is dealt with, the closed-loop system parameter identification problem is known in this way. The proposed algorithm has been proven to have high computational efficiency and effectiveness by the simulation examples.

 

Key words: Auxiliary model, least squares method, closed-loop system.

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