Optimal regulator for a class of nonlinear stochastic systems with random coefficients

被引:3
作者
Algoulity, Mashael [1 ]
Gashi, Bujar [2 ]
机构
[1] Univ Tabuk, Appl Coll, Tabuk 71491, Saudi Arabia
[2] Univ Liverpool, Dept Math Sci, Peach St, Liverpool L69 7ZL, England
关键词
Stochastic optimal control; Nonlinear systems; Riccati BSDEs; Optimal investment; LINEAR-QUADRATIC REGULATORS;
D O I
10.1016/j.ejcon.2023.100844
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider an optimal regulator problem for a class of nonlinear stochastic systems with a square-root nonlinearity and random coefficients, and using the quadratic-linear criterion. This represents a certain nonlinear generalisation of the stochastic linear-quadratic control problem with random coefficients. The solution if found in an explicit closed-form as an affine state-feedback control in terms of a Riccati and linear backward stochastic differential equations. As an application, we give the solution to an optimal investment problem in a market with random coefficients. (c) 2023 European Control Association. Published by Elsevier Ltd. All rights reserved.
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页数:5
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