Effects of bounded noise and time delay on signal transmission in excitable neural networks

D Yu, G Wang, Q Ding, T Li, Y Jia - Chaos, Solitons & Fractals, 2022 - Elsevier
The influence of bounded noise and time delay on the sub–threshold signal transmission in
FitzHugh–Nagumo neuronal networks is studied in this paper. It is found that the signal …

Byzantine-resilient distributed state estimation: A min-switching approach

L An, GH Yang - Automatica, 2021 - Elsevier
This paper proposes two distributed state estimation protocols for static linear cyber–
physical systems under Byzantine links/nodes caused by adversarial attacks. First, a basic …

[图书][B] Random Ordinary Differential Equations

X Han, PE Kloeden, X Han, PE Kloeden - 2017 - Springer
Existence and uniqueness theorems are given for RODEs under classical and Carathéodory
assumptions. In the latter case the measurability of solutions is also established. Conditions …

Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach

L Russo, C Anastassopoulou, A Tsakris, GN Bifulco… - Plos one, 2020 - journals.plos.org
Introduction Italy became the second epicenter of the novel coronavirus disease 2019
(COVID-19) pandemic after China, surpassing by far China's death toll. The disease swept …

[图书][B] Introduction to Continuous-Time Stochastic Processes

V Capasso, V Capasso - 2021 - Springer
Stochastic processes and stochastic calculus have been used extensively for data analysis
in a wide range of scientific disciplines. They provide fundamental tools for the construction …

Deterministic error bounds for kernel-based learning techniques under bounded noise

ET Maddalena, P Scharnhorst, CN Jones - Automatica, 2021 - Elsevier
We consider the problem of reconstructing a function from a finite set of noise-corrupted
samples. Two kernel algorithms are analyzed, namely kernel ridge regression and ɛ …

Data-driven diagnostics of mechanism and source of sustained oscillations

X Wang, K Turitsyn - IEEE Transactions on Power Systems, 2015 - ieeexplore.ieee.org
Sustained oscillations observed in power systems can damage equipment, degrade the
power quality and increase the risks of cascading blackouts. There are several mechanisms …

Subthreshold Periodic Signal Detection by Bounded Noise‐Induced Resonance in the FitzHugh–Nagumo Neuron

Y Yao, L Yang, C Wang, Q Liu, R Gui, J Xiong… - …, 2018 - Wiley Online Library
Neurons can detect weak target signals from complex background signals through
stochastic resonance (SR) and vibrational resonance (VR) mechanisms. However, random …

Dynamics of a stochastic system driven by cross-correlated sine-Wiener bounded noises

CJ Wang, QF Lin, YG Yao, KL Yang, MY Tian… - Nonlinear …, 2019 - Springer
The sine-Wiener noise, as one new type of bounded noise and a natural tool to model
fluctuations in dynamical systems, has been applied to problems in a variety of areas …

Detection of sub-threshold periodic signal by multiplicative and additive cross-correlated sine-Wiener noises in the FitzHugh–Nagumo neuron

Y Yao, C Ma, C Wang, M Yi, R Gui - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
We study the effects of multiplicative and additive cross-correlated sine-Wiener (CCSW)
noises on the performance of sub-threshold periodic signal detection in the FitzHugh …