scholarly journals A class of stochastic optimal control problems in Hilbert spaces: BSDEs and optimal control laws, state constraints, conditioned processes

2003 ◽  
Vol 108 (2) ◽  
pp. 263-298 ◽  
Author(s):  
Marco Fuhrman
2014 ◽  
Vol 2014 ◽  
pp. 1-16
Author(s):  
Qingmeng Wei ◽  
Xinling Xiao

This paper is devoted to the stochastic optimal control problems for systems governed by forward-backward stochastic Volterra integral equations (FBSVIEs, for short) with state constraints. Using Ekeland's variational principle, we obtain one kind of variational inequalities. Then, by dual method, we derive a stochastic maximum principle which gives the necessary conditions for the optimal controls.


Author(s):  
K. L. Teo ◽  
K. H. Wong

AbstractIn a paper by Teo and Jennings, a constraint transcription is used together with the concept of control parametrisation to devise a computational algorithm for solving a class of optimal control problems involving terminal and continuous state constraints of inequality type. The aim of this paper is to extend the results to a more general class of constrained optimal control problems, where the problem is also subject to terminal equality state constraints. For illustration, a numerical example is included.


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