Arbeitspapier

Nonlinear filtering of partially observed systems arising in singular stochastic optimal control

This paper deals with a nonlinear filtering problem in which a multi-dimensional signal process is additively affected by a process v whose components have paths of bounded variation. The presence of the process v prevents from directly applying classical results and novel estimates need to be derived. By making use of the so-called reference probability measure approach, we derive the Zakai equation satisfied by the unnormalized filtering process, and then we deduce the corresponding Kushner-Stratonovich equation. Under the condition that the jump times of the process v do not accumulate over the considered time horizon, we show that the unnormalized filtering process is the unique solution to the Zakai equation, in the class of measure-valued processes having a square-integrable density. Our analysis paves the way to the study of stochastic control problems where a decision maker can exert singular controls in order to adjust the dynamics of an unobservable Itô-process.

Sprache
Englisch

Erschienen in
Series: Center for Mathematical Economics Working Papers ; No. 651

Klassifikation
Wirtschaft
Thema
Stochastic filtering
singularly controlled systems
reference probability measure
Zakai equation
Kushner-Stratonovich equation

Ereignis
Geistige Schöpfung
(wer)
Calvia, Alessandro
Ferrari, Giorgio
Ereignis
Veröffentlichung
(wer)
Bielefeld University, Center for Mathematical Economics (IMW)
(wo)
Bielefeld
(wann)
2021

Handle
URN
urn:nbn:de:0070-pub-29554928
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Calvia, Alessandro
  • Ferrari, Giorgio
  • Bielefeld University, Center for Mathematical Economics (IMW)

Entstanden

  • 2021

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