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相关论文: Causal feedback strategies for controlled stochast…

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In this paper, we formulate and investigate the notion of causal feedback strategies arising in linear-quadratic control problems for stochastic Volterra integral equations (SVIEs) with singular and non-convolution-type coefficients. We…

最优化与控制 · 数学 2024-12-30 Yushi Hamaguchi , Tianxiao Wang

A linear-quadratic optimal control problem for a forward stochastic Volterra integral equation (FSVIE, for short) is considered. Under the usual convexity conditions, open-loop optimal control exists, which can be characterized by the…

最优化与控制 · 数学 2022-04-20 Hanxiao Wang , Jiongmin Yong , Chao Zhou

In this paper, we study linear-quadratic control problems for stochastic Volterra integral equations with singular and non-convolution-type coefficients. The weighting matrices in the cost functional are not assumed to be non-negative…

最优化与控制 · 数学 2024-12-30 Yushi Hamaguchi , Tianxiao Wang

A general and new stochastic linear quadratic optimal control problem is studied, where the coefficients are allowed to be time-varying, and both state delay and control delay can appear simultaneously in the state equation and the cost…

最优化与控制 · 数学 2026-02-24 Weijun Meng , Tianxiao Wang , Ji-Feng Zhang

This paper is concerned with a linear quadratic optimal control for a class of singular Volterra integral equations. Under proper convexity conditions, optimal control uniquely exists, and it could be characterized via Frechet derivative of…

最优化与控制 · 数学 2021-09-17 Shuo Han , Ping Lin , Jiongmin Yong

Optimal control problems of forward stochastic Volterra integral equations (SVIEs) are formulated and studied. When control region is arbitrary subset of Euclidean space and control enters into the diffusion, necessary conditions of…

最优化与控制 · 数学 2018-02-06 Tianxiao Wang

Optimal control problems of forward-backward stochastic Volterra integral equations (FBSVIEs, in short) with closed control regions are formulated and studied. Instead of using spike variation method as one may imagine, here we turn to…

最优化与控制 · 数学 2016-02-19 Tianxiao Wang , Haisen Zhang

One of the fundamental issues in Control Theory is to design feedback controls. It is well-known that, the purpose of introducing Riccati equations in the deterministic case is to provide the desired feedback controls for linear quadratic…

最优化与控制 · 数学 2016-11-28 Qi Lu , Tianxiao Wang , Xu Zhang

Linear-quadratic optimal control problem for systems governed by forward-backward stochastic differential equations has been extensively studied over the past three decades. Recent research has revealed that for forward-backward control…

最优化与控制 · 数学 2025-04-22 Qi Lü , Bowen Ma , Hanxiao Wang

In this paper, we consider the stochastic optimal control problem for a generalized Volterra control system. The corresponding state process is a kind of a generalized stochastic Volterra integral differential equations. We prove the…

最优化与控制 · 数学 2023-12-22 Yuhang Li , Yuecai Han

In this paper, we study extended backward stochastic Volterra integral equations (EBSVIEs, for short). We establish the well-posedness under weaker assumptions than the literature, and prove a new kind of regularity property for the…

概率论 · 数学 2021-03-08 Yushi Hamaguchi

Spike variation technique plays a crucial role in deriving Pontryagin's type maximum principle of optimal controls for differential equations of several types, including ordinary differential equations (ODEs), partial differential equations…

最优化与控制 · 数学 2022-09-13 Tianxiao Wang , Jiongmin Yong

This paper is devoted to the stochastic optimal control problems for systems governed by forward-backward stochastic Volterra integral equations (FBSVIEs, for short) with state constraints. Using Ekeland's variational principle, we obtain…

数学物理 · 物理学 2013-12-03 Qingmeng Wei , Xinling Xiao

Backward stochastic Volterra integral equations (BSVIEs in short) are studied. We introduce the notion of adapted symmetrical solutions (S-solutions in short), which are different from the M-solutions introduced by Yong [17]. We also give…

概率论 · 数学 2010-05-31 Tianxiao Wang , Yufeng Shi

This paper introduces a unified approach for state estimation and control of nonlinear dynamic systems, employing the State-Dependent Riccati Equation (SDRE) framework. The proposed approach naturally extends classical linear quadratic…

系统与控制 · 电气工程与系统科学 2026-02-03 Azra Redzovic , Adnan Tahirovic

Optimal control problems of forward-backward stochastic Volterra integral equations (FBSVIEs in short) are formulated and studied. A general duality principle is established for linear backward stochastic integral equation and linear…

最优化与控制 · 数学 2014-05-01 Yufeng Shi , Tianxiao Wang , Jiongmin Yong

For backward stochastic Volterra integral equations (BSVIEs, for short), under some mild conditions, the so-called adapted solutions or adapted M-solutions uniquely exist. However, satisfactory regularity of the solutions is difficult to…

概率论 · 数学 2018-02-13 Tianxiao Wang , Jiongmin Yong

Infinite horizon backward stochastic Volterra integral equations (BSVIEs for short) are investigated. We prove the existence and uniqueness of the adapted M-solution in a weighted $L^2$-space. Furthermore, we extend some important known…

概率论 · 数学 2021-10-28 Yushi Hamaguchi

This paper formulates and studies a stochastic maximum principle for forward-backward stochastic Volterra integral equations (FBSVIEs in short), while the control area is assumed to be convex. Then a linear quadratic (LQ in short) problem…

概率论 · 数学 2010-04-14 Tianxiao Wang , Yufeng Shi

In this paper, the notion of singular backward stochastic Volterra integral equations (singular BSVIEs for short) in infinite dimensional space is introduced, and the corresponding well-posedness is carefully established. A class of…

最优化与控制 · 数学 2023-12-08 Tianxiao Wang , Mengliang Zheng
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