Quantized Adaptive Control of Linear Uncertain System with Convex Analysis

Wei Chen, Jian Sun, Mu Li, Jun Li*

*Corresponding author for this work

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

Abstract

In this paper, the adaptive control problem of linear uncertain system with quantized state feedback is considered. As the quantized state feedback is discontinuous, the classical adaptive control scheme can not be applied directly. For such a case, the convex analysis methodology is applied. The controller and parameter update law with quantized state feedback is treated as convex combination of some smooth signals. Further, the quantizer is designed to ensure the stability of the closed-loop system.

Original languageEnglish
Title of host publicationProceedings - 2020 Chinese Automation Congress, CAC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2930-2935
Number of pages6
ISBN (Electronic)9781728176871
DOIs
Publication statusPublished - 6 Nov 2020
Event2020 Chinese Automation Congress, CAC 2020 - Shanghai, China
Duration: 6 Nov 20208 Nov 2020

Publication series

NameProceedings - 2020 Chinese Automation Congress, CAC 2020

Conference

Conference2020 Chinese Automation Congress, CAC 2020
Country/TerritoryChina
CityShanghai
Period6/11/208/11/20

Keywords

  • adaptive control
  • convex analysis
  • stability
  • state quantization

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