A Supervisory Control Approach for Mars Exploration System

Qun Cao*, Haoran Yang, Liwen Yang, Changkun Du, Zhongqi Sun, Haikuo Liu

*Corresponding author for this work

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

Abstract

In this paper, we present a supervisory control method for a Mars exploration task. The Mars exploration system is modeled as a discrete event dynamic system. The optimal policy is obtained by combining the system's free behavior with the specifications on disabling of controllable events. The control synthesis we got could make the Mars exploration system work safely and efficiently. The supervisor synthesized for the exploration system has successfully been tested in simulation.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages4705-4710
Number of pages6
ISBN (Electronic)9789887581581
DOIs
Publication statusPublished - 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Publication series

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

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

Keywords

  • Computational models
  • Discrete-event systems
  • Mars exploration
  • Robot control

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