Results 41 to 50 of about 139,680 (181)

LaSalle-Type Theorems for General Nonlinear Stochastic Functional Differential Equations by Multiple Lyapunov Functions

open access: yesAbstract and Applied Analysis, 2014
We investigate LaSalle-type theorems for general nonlinear stochastic functional differential equations. With some preliminaries on lemmas and the derivation techniques, we establish three LaSalle-type theorems for the general nonlinear stochastic ...
Xueyan Zhao, Feiqi Deng, Xiaojing Zhong
doaj   +1 more source

Convergence and stability of stochastic parabolic functional differential equations

open access: yesAdvances in Difference Equations, 2018
The main purpose of this paper is to investigate the convergence and stability of stochastic parabolic functional differential equations. Firstly, a comparison theorem in the context of Lyapunov-like function together with differential inequality is ...
Zhao Li, Shuyong Li
doaj   +1 more source

Peano Theorems for Pedjeu–Ladde-Type Multi-Time Scale Stochastic Differential Equations Driven by Fractional Noises

open access: yesMathematics
This paper examines fractional multi-time scale stochastic functional differential equations that, in addition, are driven by fractional noises. Based on a specially crafted fixed-point principle for the so-called “local operators”, we prove a Peano-type
Arcady Ponosov, Lev Idels
doaj   +1 more source

Stochastic Reaction-diffusion Equations Driven by Jump Processes

open access: yes, 2018
We establish the existence of weak martingale solutions to a class of second order parabolic stochastic partial differential equations. The equations are driven by multiplicative jump type noise, with a non-Lipschitz multiplicative functional.
A Debussche   +69 more
core   +1 more source

A white noise approach to stochastic partial differential equations driven by the fractional Lévy noise

open access: yesAdvances in Difference Equations, 2018
In this paper, based on the white noise theory for d-parameter Lévy random fields given by (Holden et al. in Stochastic Partial Differential Equations: A modeling, white noise functional approach, 2010), we develop a white noise frame for anisotropic ...
Xuebin Lü, Wanyang Dai
doaj   +1 more source

Maximum Principle for Optimal Control of Neutral Stochastic Functional Differential Systems [PDF]

open access: yes, 2013
In this paper, the optimal control problem of neutral stochastic functional differential equation (NSFDE) is discussed. A class of so-called neutral backward stochastic functional equations of Volterra type (VNBSFEs) are introduced as the adjoint ...
Wei, Wenning
core  

Stochastic maximum principle for optimal control of a class of nonlinear SPDEs with dissipative drift

open access: yes, 2015
We prove a version of the stochastic maximum principle, in the sense of Pontryagin, for the finite horizon optimal control of a stochastic partial differential equation driven by an infinite dimensional additive noise.
Fuhrman, Marco, Orrieri, Carlo
core   +1 more source

Finite Horizon Impulse control of Stochastic Functional Differential Equations

open access: yesSIAM Journal on Control and Optimization, 2023
In this work we show that one can solve a finite horizon non-Markovian impulse control problem with control dependant dynamics. This dynamic satisfies certain functional Lipschitz conditions and is path dependent in such a way that the resulting trajectory becomes a flow.
Johan Jönsson, Magnus Perninge
openaire   +2 more sources

Neutral Backward Stochastic Functional Differential Equations and Their Application [PDF]

open access: yes, 2013
In this paper we are concerned with a new type of backward equations with anticipation which we call neutral backward stochastic functional differential equations. We obtain the existence and uniqueness and prove a comparison theorem.
Wei, Wenning
core  

Mean-Field Stochastic Linear Quadratic Optimal Control Problems: Closed-Loop Solvability

open access: yes, 2016
An optimal control problem is studied for a linear mean-field stochastic differential equation with a quadratic cost functional. The coefficients and the weighting matrices in the cost functional are all assumed to be deterministic.
Li, Xun, Sun, Jingrui, Yong, Jiongmin
core   +1 more source

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