scholarly journals Linear-quadratic control for a class of stochastic Volterra equations: Solvability and approximation

2021 ◽  
Vol 31 (5) ◽  
Author(s):  
Eduardo Abi Jaber ◽  
Enzo Miller ◽  
Huyên Pham
2018 ◽  
Author(s):  
Allen Tannenbaum ◽  
Tryphon Georgiou ◽  
Joseph Deasy ◽  
Larry Norton

AbstractIn this note, we analyze two cancer dynamical models from a system-theoretic point of view. The first model is based upon stochastic controlled versions of the classical Lotka-Volterra equations. Here we consider from a controls point of view the utility of employing ultrahigh dose flashes in radiotherapy. The second is based on work of Norton-Simon-Massagué growth model that takes into account the heterogeneity of a tumor cell population. We indicate an optimal strategy based on linear quadratic control applied to a linear transformed model.


2010 ◽  
Vol 2010 ◽  
pp. 1-25 ◽  
Author(s):  
Bernt øksendal ◽  
Tusheng Zhang

In the first part of the paper we obtain existence and characterizations of an optimal control for a linear quadratic control problem of linear stochastic Volterra equations. In the second part, using the Malliavin calculus approach, we deduce a general maximum principle for optimal control of general stochastic Volterra equations. The result is applied to solve some stochastic control problem for some stochastic delay equations.


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