Optimal Regulator for Linear Stochastic Systems with Multiple State-Delay

We consider an optimal control problem for linear stochastic systems with multiple state delays. By formulating a general quadratic-linear cost functional, we provide an explicit solution involving coupled Riccati and partial differential equations. The derived optimal control law is in an affine feedback form with respect to the current state, the delayed state, and the integral of past state values. Additionally, we demonstrate the application of this solution to an optimal investment problem with logarithmic utility in market with interest rate influenced by a multi-delayed factor process.

Authors

Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.063
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.54
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article

Optimal Regulator for Linear Stochastic Systems with Multiple State-Delay

Bujar Gashi, Nuha Alasmi
1 citations
Memorias del Congreso Nacional de Control Automático
Stochastic processes and financial applications
0.54
article

Optimal Regulator for Linear Stochastic Systems with Multiple State-Delay

Bujar Gashi, Nuha Alasmi
article en
1 citations

Abstract

We consider an optimal control problem for linear stochastic systems with multiple state delays. By formulating a general quadratic-linear cost functional, we provide an explicit solution involving coupled Riccati and partial differential equations. The derived optimal control law is in an affine feedback form with respect to the current state, the delayed state, and the integral of past state values. Additionally, we demonstrate the application of this solution to an optimal investment problem with logarithmic utility in market with interest rate influenced by a multi-delayed factor process.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
Openalex Percentile: Top 27%
Stochastic processes and financial applications
0.54
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