Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls

We study the partial information classical and impulse controls problem of forward-backward systems driven by Lévy processes, where the control variable consists of two components: the classical stochastic control and the impulse control; the information available to the controller is possibly less...

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Main Authors: Yan Wang, Aimin Song, Enmin Feng
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/452124
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author Yan Wang
Aimin Song
Enmin Feng
author_facet Yan Wang
Aimin Song
Enmin Feng
author_sort Yan Wang
collection DOAJ
description We study the partial information classical and impulse controls problem of forward-backward systems driven by Lévy processes, where the control variable consists of two components: the classical stochastic control and the impulse control; the information available to the controller is possibly less than the full information, that is, partial information. We derive a maximum principle to give the sufficient and necessary optimality conditions for the local critical points of the classical and impulse controls problem. As an application, we apply the maximum principle to a portfolio optimization problem with piecewise consumption processes and give its explicit solutions.
format Article
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-d99e37dc47784ed4811e4d175004e26f2025-02-03T06:08:17ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/452124452124Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse ControlsYan Wang0Aimin Song1Enmin Feng2School of Science, Dalian Jiaotong University, Dalian 116028, ChinaSchool of Science, Dalian Jiaotong University, Dalian 116028, ChinaSchool of Mathematical Sciences, Dalian University of Technology, Dalian 116023, ChinaWe study the partial information classical and impulse controls problem of forward-backward systems driven by Lévy processes, where the control variable consists of two components: the classical stochastic control and the impulse control; the information available to the controller is possibly less than the full information, that is, partial information. We derive a maximum principle to give the sufficient and necessary optimality conditions for the local critical points of the classical and impulse controls problem. As an application, we apply the maximum principle to a portfolio optimization problem with piecewise consumption processes and give its explicit solutions.http://dx.doi.org/10.1155/2014/452124
spellingShingle Yan Wang
Aimin Song
Enmin Feng
Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
Abstract and Applied Analysis
title Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
title_full Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
title_fullStr Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
title_full_unstemmed Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
title_short Stochastic Maximum Principle for Partial Information Optimal Control Problem of Forward-Backward Systems Involving Classical and Impulse Controls
title_sort stochastic maximum principle for partial information optimal control problem of forward backward systems involving classical and impulse controls
url http://dx.doi.org/10.1155/2014/452124
work_keys_str_mv AT yanwang stochasticmaximumprincipleforpartialinformationoptimalcontrolproblemofforwardbackwardsystemsinvolvingclassicalandimpulsecontrols
AT aiminsong stochasticmaximumprincipleforpartialinformationoptimalcontrolproblemofforwardbackwardsystemsinvolvingclassicalandimpulsecontrols
AT enminfeng stochasticmaximumprincipleforpartialinformationoptimalcontrolproblemofforwardbackwardsystemsinvolvingclassicalandimpulsecontrols