Optimal control for uncertain stochastic dynamic systems with jump and application to an advertising model

•Present an optimal control model with jump in uncertain random environments.•Propose the principle of optimality and equation of optimality to solve the model.•The optimal solutions of two kinds of optimal problems are obtained.•The optimal pricing policies and advertising strategies of an advertis...

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Bibliographic Details
Published in:Applied mathematics and computation Vol. 407; p. 126337
Main Authors: Chen, Xin, Zhu, Yuanguo, Sheng, Linxue
Format: Journal Article
Language:English
Published: Elsevier Inc 15.10.2021
Subjects:
Advertising model
Chance theory
Dynamic programming method
Optimal control
49L20
Dynamic programming method
93C05
Optimal control
49N05
Advertising model
Chance theory
49N10
ISSN:0096-3003, 1873-5649
Online Access:Get full text
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Summary:•Present an optimal control model with jump in uncertain random environments.•Propose the principle of optimality and equation of optimality to solve the model.•The optimal solutions of two kinds of optimal problems are obtained.•The optimal pricing policies and advertising strategies of an advertising problem are provided. Randomness is an objective indeterminacy, while uncertainty is a subjective indeterminacy. As an effective methodology, chance theory is applicable for disposing of indeterminacy composing of both uncertainty and randomness. Based on chance theory, the optimal control for uncertain stochastic dynamic systems described by both a stochastic differential equation driven by the standard Wiener process and an uncertain differential equation driven by the Liu process and V−n jumps process is considered. Then the principle of optimality is presented by drawing on the dynamic programming method. Particularly, the equation of optimality is established to solve the proposed problem. Furthermore, the optimal control problems with linear and quadratic objective functions are discussed by using the obtained equation. As an application, an advertising problem is analyzed, the corresponding optimal pricing policies and advertising strategies are provided.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2021.126337