Two-stage recursive least squares parameter identification for cascade systems with dead zone

Linwei Li, Xuemei Ren*, Wei Zhao, Minlin Wang

*Corresponding author for this work

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

Abstract

In this paper, two-stage recursive least squares algorithm (TS-RLS) is investigated for parameter identification of cascade systems with dead zone. In order to estimate the slopes and endpoints of the dead zone, switching functions are presented to reconstruct the expression of dead zone. All the parameters of linear subsystems and dead zone are separated by using the key term separation principle, which is applied to convert the cascade systems into a quasilinear model. The proposed identification algorithm not only estimates all the parameters of the cascade systems, but also reduces the computation cost of identification process. The result of the simulation illustrates the flexibility and efficiency of proposed identification algorithm.

Original languageEnglish
Title of host publicationProceedings of 2016 Chinese Intelligent Systems Conference
EditorsWeicun Zhang, Yingmin Jia, Hongbo Li, Junping Du
PublisherSpringer Verlag
Pages255-265
Number of pages11
ISBN (Print)9789811023347
DOIs
Publication statusPublished - 2016
EventInternational Conference on Chinese Intelligent Systems Conference, CISC 2016 - Xiamen, China
Duration: 1 Jan 2016 → …

Publication series

NameLecture Notes in Electrical Engineering
Volume405
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Chinese Intelligent Systems Conference, CISC 2016
Country/TerritoryChina
CityXiamen
Period1/01/16 → …

Keywords

  • Cascade systems
  • Dead zone
  • Parameter identification
  • Two-stage algorithm

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