7 citations · 7 across the 4 of their papers we have counts for
5 papers
Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network
Xiaolong Wang, Xiangwen Hao, Jing Feng +2
Parameter identification of stochastic dynamical systems driven by mixed noises is challenging due to intractable likelihood functions. We propose PENN-GMD, a parameter estimation…
Stochastic resonance in higher-order networks driven by colored noise
Zhongwen Bi, Dan Zhao, Qi Liu +2
We investigate stochastic resonance (SR) in an ensemble of coupled overdamped bistable oscillators driven by colored noise. The networks incorporate the weighted contributions of b…
Synchronization transitions and spike dynamics in a higher-order Kuramoto model with Lévy noise
Dan Zhao, Jürgen Kurths, Norbert Marwan +1
Synchronization in various complex networks is significantly influenced by higher-order interactions combined with non-Gaussian stochastic perturbations, yet their mechanisms remai…
Flutter Suppression Enhancement in Coupled Nonlinear Airfoils with Intermittent Mixed Interactions
Qi Liu, Riccardo Muolo, Hiroya Nakao +1
Flutter suppression facilitates the improvement of structural reliability to ensure the flight safety of an aircraft. In this study, we propose a novel strategy for enlarging ampli…
The pseudo-analytical density solution to parameterized Fokker-Planck equations via deep learning
Xiaolong Wang, Jing Feng, Gege Wang +2
Efficiently solving the Fokker-Planck equation (FPE) is crucial for understanding the probabilistic evolution of stochastic particles in dynamical systems, however, analytical solu…