7 papers
Event-Triggered Stabilisation of Desynchronisation in Networked Oscillatory Systems
Luan Yang, Jingdong Zhang, Jeroen Lamb +3
Pathological neuronal synchrony provides one practical motivation for studying sparse desynchronisation control in networked oscillatory systems, particularly in applications where…
Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning
Jingdong Zhang, Luan Yang, Murilo S. Baptista +4
Oscillatory dynamics arise ubiquitously in nonlinear systems, yet identifying a physically interpretable phase and phase dynamics in nonlinear, high-dimensional oscillations remain…
Neural Event-Triggered Control with Optimal Scheduling
Luan Yang, Jingdong Zhang, Qunxi Zhu +1
Learning-enabled controllers with stability certificate functions have demonstrated impressive empirical performance in addressing control problems in recent years. Nevertheless, d…
Governing equation discovery of a complex system from snapshots
Qunxi Zhu, Bolin Zhao, Jingdong Zhang +2
Complex systems in physics, chemistry, and biology that evolve over time with inherent randomness are typically described by stochastic differential equations (SDEs). A fundamental…
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
Jingdong Zhang, Qunxi Zhu, Wei Lin
Accurately finding and predicting dynamics based on the observational data with noise perturbations is of paramount significance but still a major challenge presently. Here, for th…
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu +4
Modeling complex systems using standard neural ordinary differential equations (NODEs) often faces some essential challenges, including high computational costs and susceptibility…