Compensation for quantized input control systems with impulsive extend state observer

Xinwei Liu, Jinhui Zhang, Ran Huang

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

2 Citations (Scopus)

Abstract

This paper considers quantized input feedback control of linear systems, and investigates how to attenuate the effects of quantization error. Our main objective is to find an effective estimation strategy which can accurately compensate the quantization errors. Based on the property of quantization, the impulsive extend state observer is proposed to our best knowledge. Analyses of both state-feedback and observer-based control systems are considered by means of impulsive control theory and other techniques. The stability conditions of closed-loop system are given in corresponding sections. Finally, we give some numerical examples to illustrate the effectiveness and applicability of the proposed approaches.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages7285-7290
Number of pages6
ISBN (Electronic)9789881563910
DOIs
Publication statusPublished - 26 Aug 2016
Externally publishedYes
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Extend State Observer (ESO)
  • Impulsive Systems
  • Networked Control Systems (NCSs)
  • Quantization

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