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Convex Co-Design of Mixed-Relative Degree Control Barrier Functions and Feedback Controllers for Linear Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)
49 Downloads (Pure)

Abstract

Control Barrier Functions (CBFs) have been proposed as an efficient tool for safe control design. Given an initial set, a safe set and system dynamics, designing a candidate CBF is known to be NP-hard in general. In this paper, we propose a convex design method for linear dynamical systems under mild assumptions on the forms of the initial and the safe set. A CBF and an associated safe feedback controller can be co-designed by solving a single semi-definite program. Our method can handle mixed- (high-) relative degree problems directly, without the need to use backstepping or other methods. The efficacy of the proposed method is demonstrated on two different numerical examples.

Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PublisherIEEE
Pages8158-8163
Number of pages6
ISBN (Electronic)9798350316339
DOIs
Publication statusPublished - 26-Feb-2025
Event63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy
Duration: 16-Dec-2024 → 19-Dec-2024

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference63rd IEEE Conference on Decision and Control, CDC 2024
Country/TerritoryItaly
CityMilan
Period16/12/2024 → 19/12/2024

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