Robust Adaptive Control for Safety-Critical Systems via Control Barrier Functions

Hao Xu, Liangyu Zhao, Zhongjiao Shi*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

A robust adaptive control framework for the safety-critical system is developed in this paper, which can guarantee the asymptotic stability of the system and the safety of the parameter estimation. First, the robust adaptive law is constructed using the control barrier functions to cinch the forward invariance of the safety set of the parameter estimation. Then, the auxiliary control input is introduced into the control architecture to ensure the asymptotic stability of the system. Last, numerical simulations based on quadratic programs are performed to depict the effectiveness and superiority of the method.

Original languageEnglish
Title of host publicationProceedings - 2022 Chinese Automation Congress, CAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1745-1749
Number of pages5
ISBN (Electronic)9781665465335
DOIs
Publication statusPublished - 2022
Event2022 Chinese Automation Congress, CAC 2022 - Xiamen, China
Duration: 25 Nov 202227 Nov 2022

Publication series

NameProceedings - 2022 Chinese Automation Congress, CAC 2022
Volume2022-January

Conference

Conference2022 Chinese Automation Congress, CAC 2022
Country/TerritoryChina
CityXiamen
Period25/11/2227/11/22

Keywords

  • adaptive control
  • control barrier functions
  • quadratic program
  • safety-critical system

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