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Stabilisation of highly nonlinear hybrid stochastic differential delay equations by delay feedback control
X Li, X Mao - Automatica, 2020 - Elsevier
Given an unstable hybrid stochastic differential equation (SDDE, also known as an SDDE
with Markovian switching), can we design a delay feedback control to make the controlled …
with Markovian switching), can we design a delay feedback control to make the controlled …
[HTML][HTML] Numerical scheme and stability analysis of stochastic Fitzhugh–Nagumo model
This article deals with the Fitzhugh–Nagumo equation in the presence of stochastic function.
A numerical scheme has been developed for the solution of such equations which preserves …
A numerical scheme has been developed for the solution of such equations which preserves …
A branching process approach to power markets
Y Jiao, C Ma, S Scotti, C Sgarra - Energy Economics, 2019 - Elsevier
We propose and investigate a market model for power prices, including most basic features
exhibited by previous models and taking into account self-exciting properties. The model …
exhibited by previous models and taking into account self-exciting properties. The model …
Stochastic port-Hamiltonian systems
In the present work we formally extend the theory of port-Hamiltonian systems to include
random perturbations. In particular, suitably choosing the space of flow and effort variables …
random perturbations. In particular, suitably choosing the space of flow and effort variables …
An approximate solution for stochastic Fitzhugh–Nagumo partial differential equations arising in neurobiology models
In this paper, approximate solutions for stochastic Fitzhugh–Nagumo partial differential
equations are obtained using two‐dimensional shifted Legendre polynomial (2DSLP) …
equations are obtained using two‐dimensional shifted Legendre polynomial (2DSLP) …
Stochastic optimal control with random coefficients and associated stochastic Hamilton–Jacobi–Bellman equations
J Moon - Advances in Continuous and Discrete Models, 2022 - Springer
We consider the optimal control problem for stochastic differential equations (SDEs) with
random coefficients under the recursive-type objective functional captured by the backward …
random coefficients under the recursive-type objective functional captured by the backward …
Deterministic control of stochastic reaction-diffusion equations
We consider the control of semilinear stochastic partial differential equations (SPDEs) via
deterministic controls. In the case of multiplicative noise, existence of optimal controls and …
deterministic controls. In the case of multiplicative noise, existence of optimal controls and …
Early warning signs for SPDEs with continuous spectrum
P Bernuzzi, AFS Düx, C Kuehn - European Journal of Applied …, 2023 - cambridge.org
In this work, we study early warning signs for stochastic partial differential equations
(SPDEs), where the linearisation around a steady state is characterised by continuous …
(SPDEs), where the linearisation around a steady state is characterised by continuous …
Neural network approximation of optimal controls for stochastic reaction–diffusion equations
We present a numerical algorithm that allows the approximation of optimal controls for
stochastic reaction–diffusion equations with additive noise by first reducing the problem to …
stochastic reaction–diffusion equations with additive noise by first reducing the problem to …
Controlling discharge mode in electrical activities of myocardial cell using mixed frequencies magnetic radiation
Based on the standard Fitzhugh–Nagumo model for myocardial cell excitations and
electrical activities, the effect of electromagnetic induction is considered and through which …
electrical activities, the effect of electromagnetic induction is considered and through which …