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An Iterative Approach to Data-Driven Inference for Decoding Oscillator Network Structures
In complex networks, interactions between multiple agents give rise to an array of intricate global dynamics, ranging from synchronization to cluster formations.
Bilinear Systems Induced by Proper Lie Group Actions
In the study of induced bilinear systems, the classical Lie algebra rank condition (LARC) is known to be impractical since it requires computing the rank everywhere.
Ensemble Recognition in Reproducing Kernel Hilbert Spaces through Aggregated Measurements
In this paper, we study the problem of learning dynamical properties of ensemble systems from their collective behaviors using statistical approaches in reproducing kernel Hilbert space (RKHS).
Interpretable Design of Reservoir Computing Networks using Realization Theory
The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks.
Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators
We propose a general method for optimizing periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators based on phase reduction and nonlinear programming.
Adaptation and Self-Organizing Systems
