Probabilistic stabilizability certificates for a class of black-box linear systems

We provide out-of-sample certificates on the controlled invariance property of a given set with respect to a class of black-box linear systems generated by a possibly inexact quantification of some parameters in the state-space matrices. By exploiting a set of realizations of those undetermined para...

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Main Authors: Fabiani, F, Margellos, K, Goulart, PJ
Format: Journal article
Language:English
Published: IEEE 2021
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author Fabiani, F
Margellos, K
Goulart, PJ
author_facet Fabiani, F
Margellos, K
Goulart, PJ
author_sort Fabiani, F
collection OXFORD
description We provide out-of-sample certificates on the controlled invariance property of a given set with respect to a class of black-box linear systems generated by a possibly inexact quantification of some parameters in the state-space matrices. By exploiting a set of realizations of those undetermined parameters, verifying the controlled invariance property of the given set amounts to a linear program, whose feasibility allows us to establish an a-posteriori probabilistic certificate on the controlled invariance property of such a set with respect to the unknown linear time-invariant dynamics. We apply this framework to the control of a networked system with unknown weighted graph.
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spelling oxford-uuid:b1a4a535-0aa2-45dc-91ae-068090872bab2022-03-27T04:05:41ZProbabilistic stabilizability certificates for a class of black-box linear systemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b1a4a535-0aa2-45dc-91ae-068090872babEnglishSymplectic ElementsIEEE2021Fabiani, FMargellos, KGoulart, PJWe provide out-of-sample certificates on the controlled invariance property of a given set with respect to a class of black-box linear systems generated by a possibly inexact quantification of some parameters in the state-space matrices. By exploiting a set of realizations of those undetermined parameters, verifying the controlled invariance property of the given set amounts to a linear program, whose feasibility allows us to establish an a-posteriori probabilistic certificate on the controlled invariance property of such a set with respect to the unknown linear time-invariant dynamics. We apply this framework to the control of a networked system with unknown weighted graph.
spellingShingle Fabiani, F
Margellos, K
Goulart, PJ
Probabilistic stabilizability certificates for a class of black-box linear systems
title Probabilistic stabilizability certificates for a class of black-box linear systems
title_full Probabilistic stabilizability certificates for a class of black-box linear systems
title_fullStr Probabilistic stabilizability certificates for a class of black-box linear systems
title_full_unstemmed Probabilistic stabilizability certificates for a class of black-box linear systems
title_short Probabilistic stabilizability certificates for a class of black-box linear systems
title_sort probabilistic stabilizability certificates for a class of black box linear systems
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