Opuscula Mathematica
Opuscula Math. 37, no. 6 (), 821-827
http://dx.doi.org/10.7494/OpMath.2017.37.6.821
Opuscula Mathematica

A direct approach to linear-quadratic stochastic control



Abstract. A direct approach is used to solve some linear-quadratic stochastic control problems for Brownian motion and other noise processes. This direct method does not require solving Hamilton-Jacobi-Bellman partial differential equations or backward stochastic differential equations with a stochastic maximum principle or the use of a dynamic programming principle. The appropriate Riccati equation is obtained as part of the optimization problem. The noise processes can be fairly general including the family of fractional Brownian motions.
Keywords: linear-quadratic Gaussian control, Riccati equation for optimization, stochastic control.
Mathematics Subject Classification: 93E20, 93C05.
Cite this article as:
Tyrone E. Duncan, Bozenna Pasik-Duncan, A direct approach to linear-quadratic stochastic control, Opuscula Math. 37, no. 6 (2017), 821-827, http://dx.doi.org/10.7494/OpMath.2017.37.6.821
 
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ISSN 1232−9274, e-ISSN 2300−6919, DOI http://dx.doi.org/10.7494/OpMath
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