An efficient indirect identification method for feedback control system

Li Juan Jia*, Ran Tao, Yue Wang, Shunshoku Kanae, Zi Jiang Yang, Kiyoshi Wada

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In many cases it is not possible to remove the feedback during an identification experiment because this may lead to instability. The feedback may also be inherent in many dynamic systems (e.g., economical, biological). In this paper we shall consider the problem of identification of dynamic systems operating under feedback control and propose an indirect approach to closed-loop system identification based on the bias-compensation principle. The main feature of the proposed method is that introductions of auxiliary vector and matrix are helpful to find an approach to estimating the noise-output correlated variance. Therefore via compensating the consistent bias of LS estimate, the consistent estimates for closed-loop system can be given.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Pages13-18
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya, China
Duration: 6 Apr 20088 Apr 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Conference

Conference2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Country/TerritoryChina
CitySanya
Period6/04/088/04/08

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