A TIKHONOV THEOREM FOR MCKEAN--VLASOV TWO-SCALE SYSTEMS AND A NEW APPLICATION TO MEAN FIELD OPTIMAL CONTROL PROBLEMS.

Saved in:
Bibliographic Details
Title: A TIKHONOV THEOREM FOR MCKEAN--VLASOV TWO-SCALE SYSTEMS AND A NEW APPLICATION TO MEAN FIELD OPTIMAL CONTROL PROBLEMS.
Authors: BURZONI, MATTEO1 matteo.burzoni@unimi.it, CECCHIN, ALEKOS2 alekos.cecchin@unipd.it, COSSO, ANDREA1 andrea.cosso@unimi.it
Source: SIAM Journal on Control & Optimization. 2024, Vol. 62 Issue 5, p2475-2505. 31p.
Subjects: Stochastic control theory, Approximation theory, Stochastic systems
Abstract: We provide a new version of the Tikhonov theorem for both two-scale forward systems and also two-scale forward-backward systems of stochastic differential equations, which also covers the McKean--Vlasov case. Differently from what is usually done in the literature, we prove a type of convergence for the "fast" variable, which allows the limiting process to be discontinuous. This is relevant for the second part of the paper, where we present a new application of this theory to the approximation of the solution of mean field control problems. Towards this aim, we construct a two-scale system whose "fast" component converges to the optimal control process, while the "slow" component converges to the optimal state process. The interest in such a procedure is that it allows one to approximate the solution of the control problem, avoiding the usual step of the minimization of the Hamiltonian. [ABSTRACT FROM AUTHOR]
Copyright of SIAM Journal on Control & Optimization is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 180915436
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A TIKHONOV THEOREM FOR MCKEAN--VLASOV TWO-SCALE SYSTEMS AND A NEW APPLICATION TO MEAN FIELD OPTIMAL CONTROL PROBLEMS.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22BURZONI%2C+MATTEO%22">BURZONI, MATTEO</searchLink><relatesTo>1</relatesTo><i> matteo.burzoni@unimi.it</i><br /><searchLink fieldCode="AR" term="%22CECCHIN%2C+ALEKOS%22">CECCHIN, ALEKOS</searchLink><relatesTo>2</relatesTo><i> alekos.cecchin@unipd.it</i><br /><searchLink fieldCode="AR" term="%22COSSO%2C+ANDREA%22">COSSO, ANDREA</searchLink><relatesTo>1</relatesTo><i> andrea.cosso@unimi.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22SIAM+Journal+on+Control+%26+Optimization%22">SIAM Journal on Control & Optimization</searchLink>. 2024, Vol. 62 Issue 5, p2475-2505. 31p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Stochastic+control+theory%22">Stochastic control theory</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+theory%22">Approximation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+systems%22">Stochastic systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We provide a new version of the Tikhonov theorem for both two-scale forward systems and also two-scale forward-backward systems of stochastic differential equations, which also covers the McKean--Vlasov case. Differently from what is usually done in the literature, we prove a type of convergence for the "fast" variable, which allows the limiting process to be discontinuous. This is relevant for the second part of the paper, where we present a new application of this theory to the approximation of the solution of mean field control problems. Towards this aim, we construct a two-scale system whose "fast" component converges to the optimal control process, while the "slow" component converges to the optimal state process. The interest in such a procedure is that it allows one to approximate the solution of the control problem, avoiding the usual step of the minimization of the Hamiltonian. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of SIAM Journal on Control & Optimization is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=180915436
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1137/22M1543070
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 31
        StartPage: 2475
    Subjects:
      – SubjectFull: Stochastic control theory
        Type: general
      – SubjectFull: Approximation theory
        Type: general
      – SubjectFull: Stochastic systems
        Type: general
    Titles:
      – TitleFull: A TIKHONOV THEOREM FOR MCKEAN--VLASOV TWO-SCALE SYSTEMS AND A NEW APPLICATION TO MEAN FIELD OPTIMAL CONTROL PROBLEMS.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: BURZONI, MATTEO
      – PersonEntity:
          Name:
            NameFull: CECCHIN, ALEKOS
      – PersonEntity:
          Name:
            NameFull: COSSO, ANDREA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 03630129
          Numbering:
            – Type: volume
              Value: 62
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: SIAM Journal on Control & Optimization
              Type: main
ResultId 1