Global stochastic maximum principle of regime-switching systems with time-varying delay under non-convex control domains

This paper establishes a global stochastic maximum principle for regime-switching systems with time-varying delays under non-convex control domains. The proposed approach relies on the spike variation and duality methods. One contribution of this paper is the establishment of the well-posedness of anticipated backward stochastic differential equations featuring both time-varying delays and regime-switching, which arise as the first- and the second-order adjoint equations required to handle the non-convexity of the control domain. Additionally, the classical duality relation is extended to accommodate the time-varying delay. Finally, a linear–quadratic problem is presented as an example to demonstrate the applicability of the theoretical results.

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Publication Details

Journal
Nonlinear Analysis Hybrid Systems
Published
2026-09-21
DOI
https://doi.org/10.1016/j.nahs.2026.101816
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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Global stochastic maximum principle of regime-switching systems with time-varying delay under non-convex control domains

Fuke Wu, Meilin Tang
Nonlinear Analysis Hybrid Systems
Stability and Control of Uncertain Systems
article

Global stochastic maximum principle of regime-switching systems with time-varying delay under non-convex control domains

Fuke Wu, Meilin Tang
article en

Abstract

This paper establishes a global stochastic maximum principle for regime-switching systems with time-varying delays under non-convex control domains. The proposed approach relies on the spike variation and duality methods. One contribution of this paper is the establishment of the well-posedness of anticipated backward stochastic differential equations featuring both time-varying delays and regime-switching, which arise as the first- and the second-order adjoint equations required to handle the non-convexity of the control domain. Additionally, the classical duality relation is extended to accommodate the time-varying delay. Finally, a linear–quadratic problem is presented as an example to demonstrate the applicability of the theoretical results.

Nonlinear Analysis Hybrid SystemsVol. 63
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 15%
Stability and Control of Uncertain Systems
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