Results 21 to 30 of about 3,606 (131)
From the Kuramoto-Sakaguchi model to the Kuramoto-Sivashinsky equation [PDF]
6 pages, 4 ...
openaire +3 more sources
Configurational stability for the Kuramoto–Sakaguchi model [PDF]
The Kuramoto–Sakaguchi model is a generalization of the well-known Kuramoto model that adds a phase-lag paramater or “frustration” to a network of phase-coupled oscillators. The Kuramoto model is a flow of gradient type, but adding a phase-lag breaks the gradient structure, significantly complicating the analysis of the model.
Jared C. Bronski +2 more
openaire +3 more sources
Hysteretic transitions in the Kuramoto model with inertia [PDF]
We report finite size numerical investigations and mean field analysis of a Kuramoto model with inertia for fully coupled and diluted systems. In particular, we examine for a Gaussian distribution of the frequencies the transition from incoherence to coherence for increasingly large system size and inertia. For sufficiently large inertia the transition
Alessandro Torcini +3 more
openaire +8 more sources
Model reduction for Kuramoto models with complex topologies [PDF]
Synchronisation of coupled oscillators is a ubiquitous phenomenon, occurring in topics ranging from biology and physics, to social networks and technology. A fundamental and long-time goal in the study of synchronisation has been to find low-order descriptions of complex oscillator networks and their collective dynamics. However, for the Kuramoto model
Hancock, Edward J., Gottwald, Georg A.
openaire +3 more sources
Chimera patterns in the Kuramoto–Battogtokh model [PDF]
Kuramoto and Battogtokh [Nonlinear Phenom. Complex Syst. 5, 380 (2002)] discovered chimera states represented by stable coexisting synchrony and asynchrony domains in a lattice of coupled oscillators. After reformulation in terms of local order parameter, the problem can be reduced to partial differential equations.
Smirnov, Lev A. (Dr.) +2 more
openaire +3 more sources
Kuramoto model with run-and-tumble dynamics [PDF]
This work considers an extension of the Kuramoto model with run-and-tumble dynamics -- a type of self-propelled motion. The difference between the extended and the original model is that in the extended version angular velocity of individual particles is no longer fixed but can change sporadically with a new velocity drawn from a distribution g(w ...
openaire +3 more sources
On the number of stable solutions in the Kuramoto model
We consider a system of n coupled oscillators described by the Kuramoto model with the dynamics given by θ˙=ω+Kf(θ). In this system, an equilibrium solution θ∗ is considered stable when ω+Kf(θ∗)=0, and the Jacobian matrix Df(θ∗) has a simple eigenvalue of zero, indicating the presence of a direction in which the oscillators can adjust their phases ...
Alex Arenas +3 more
openaire +6 more sources
Multistability in the Kuramoto model with synaptic plasticity [PDF]
We present a simplified phase model for neuronal dynamics with spike timing-dependent plasticity (STDP). For asymmetric, experimentally observed STDP we find multistability: a coexistence of a fully synchronized, a fully desynchronized, and a variety of cluster states in a wide enough range of the parameter space.
Maistrenko, Y. L. +4 more
openaire +3 more sources
Stability diagram for the forced Kuramoto model [PDF]
We analyze the periodically forced Kuramoto model. This system consists of an infinite population of phase oscillators with random intrinsic frequencies, global sinusoidal coupling, and external sinusoidal forcing. It represents an idealization of many phenomena in physics, chemistry, and biology in which mutual synchronization competes with forced ...
Childs, Lauren M., Strogatz, Steven H.
openaire +4 more sources
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source

