Verification of L1 Adaptive Control using Verse Library: A Case Study of Quadrotors

Lin Song, Yangge Li, Sheng Cheng, Pan Zhao, Sayan Mitra, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

L1 adaptive control (L1AC) is a control design technique that can handle a broad class of system uncertainties and provide transient performance guarantees. In this work-in-progress paper, we discuss how existing formal verification tools can be applied to check performance of L1AC systems. We show that the theoretical transient performance and robustness guarantees of an L1AC for an 18-dimensional quadrotor system can be verified using the recently developed Verse reachability analysis tool. We will further consider the performance verification of L1AC on learning-enabled systems.

Original languageEnglish (US)
Title of host publicationICCPS 2023 - Proceedings of the 2023 ACM/IEEE 14th International Conference on Cyber-Physical Systems with CPS-IoT Week 2023
PublisherAssociation for Computing Machinery
Pages245-246
Number of pages2
ISBN (Electronic)9798400700361
DOIs
StatePublished - May 9 2023
Event14th ACM/IEEE International Conference on Cyber-Physical Systems, with CPS-IoT Week 2023, ICCPS 2023 - San Antonio, United States
Duration: May 9 2023May 12 2023

Publication series

NameICCPS 2023 - Proceedings of the 2023 ACM/IEEE 14th International Conference on Cyber-Physical Systems with CPS-IoT Week 2023

Conference

Conference14th ACM/IEEE International Conference on Cyber-Physical Systems, with CPS-IoT Week 2023, ICCPS 2023
Country/TerritoryUnited States
CitySan Antonio
Period5/9/235/12/23

Keywords

  • Adaptive Control Verification, Safe Autonomous Systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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