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dc.contributor.authorMarley, Mathias Huuse
dc.contributor.authorSkjetne, Roger
dc.contributor.authorTeel, Andrew R.
dc.date.accessioned2024-01-16T08:58:57Z
dc.date.available2024-01-16T08:58:57Z
dc.date.created2023-11-20T13:03:54Z
dc.date.issued2023
dc.identifier.issn0018-9286
dc.identifier.urihttps://hdl.handle.net/11250/3111670
dc.description.abstractControl barrier functions (CBFs) ensure safety of controlled dynamical systems by enforcing forward invariance of safe subsets of the state space. First-order CBFs are applicable for systems where the control input appears in the first time derivative of the controlled output. High-order CBFs (HOCBFs) extend the notion of CBFs to systems of any order, following a procedure reminiscent of the recursive design of a control Lyapunov function in backstepping. Asymptotic stability of compact safe sets for Lipschitz continuous HOCBF-based controllers has recently been reported in literature. In this paper, we extend this result by establishing sufficient conditions for uniform asymptotic stability of closed, but not necessarily compact, safe sets. Moreover, we show that uniform asymptotic stability holds for differential inclusions that correspond to allowing the control input to take on arbitrary values that satisfy the HOCBF-induced input constraints. This result circumvents the need to establish continuity properties of optimization-based safeguarding control laws. Sufficient conditions for input-to-state stability are also established, by constructing a vector comparison system from the worst-case evolution of the HOCBF along the disturbed versions of the aforementioned differential inclusions. The theoretical results are illustrated by two case studies.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleSufficient conditions for uniform asymptotic stability and input-to-state stability using high-order control barrier functionsen_US
dc.title.alternativeSufficient conditions for uniform asymptotic stability and input-to-state stability using high-order control barrier functionsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Copyright 2023 IEEE - All rights reserved.en_US
dc.source.journalIEEE Transactions on Automatic Controlen_US
dc.identifier.doihttps://doi.org/10.1109/TAC.2023.3332018
dc.identifier.cristin2198848
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode2


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