Learning and phase tracking by frequency and weight adaptation for coupled networks of Kuramoto oscillators
DOI10.1137/23M1590639MaRDI QIDQ6667518
Faizah J. Alanazi, Stuart Townley, Markus F. Müller
Publication date: 20 January 2025
Published in: SIAM Journal on Applied Dynamical Systems (Search for Journal in Brave)
Lyapunov functionadaptive controlnonlinear dynamical systemslearning controloscillatorsKuramoto model
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive or robust stabilization (93D21) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Dynamical systems in control (37N35)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Synchronization of complex community networks with nonidentical nodes and adaptive coupling strength
- The Kuramoto model in complex networks
- From Kuramoto to Crawford: Exploring the onset of synchronization in population of coupled oscillators
- Synchronization: a universal concept in nonlinear sciences
- Plasticity and learning in a network of coupled phase oscillators
- Synchronization of identical neural networks and other systems with an adaptive coupling strength
- THE EXTENT OF ASYMPTOTIC STABILITY
- The Kuramoto model revisited
- Persistent excitation in adaptive systems
- Synchronization
- Synchronization in complex oscillator networks and smart grids
- The geometry of biological time.
- Partial synchronization and clustering in a system of diffusively coupled chaotic oscillators
- Low-Dimensional Behavior of a Kuramoto Model with Inertia and Hebbian Learning
- Complex dynamics in adaptive phase oscillator networks
- Multiclusters in networks of adaptively coupled phase oscillators
This page was built for publication: Learning and phase tracking by frequency and weight adaptation for coupled networks of Kuramoto oscillators
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6667518)