z-logo
Premium
Maximum principle for optimal control of anticipated forward–backward stochastic differential delayed systems with regime switching
Author(s) -
Lv Siyu,
Tao Ran,
Wu Zhen
Publication year - 2015
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2160
Subject(s) - maximum principle , optimal control , pontryagin's minimum principle , markov chain , stochastic differential equation , duality (order theory) , mathematics , stochastic control , mathematical optimization , state (computer science) , differential (mechanical device) , regular polygon , consumption (sociology) , control (management) , mathematical economics , control theory (sociology) , computer science , discrete mathematics , algorithm , social science , sociology , statistics , geometry , artificial intelligence , engineering , aerospace engineering
Summary This paper is concerned with a Pontryagin maximum principle for optimal control problem of stochastic system, which is described by an anticipated forward–backward stochastic differential delayed equation and modulated by a continuous‐time finite‐state Markov chain. We establish a necessary maximum principle and sufficient verification theorem for the optimal control by virtue of the duality method and convex analysis. To illustrate the theoretical results, we apply them to a recursive utility investment‐consumption problem, and the optimal consumption rate is derived explicitly. Copyright © 2015 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom