Synchronization Mechanism for Controlled Complex Networks under Auxiliary Effect of Dynamic Edges DOI Open Access
Lizhi Liu, Zilin Gao, Yi Peng

и другие.

Electronics, Год журнала: 2024, Номер 13(10), С. 1990 - 1990

Опубликована: Май 20, 2024

The scope of complex dynamical networks (CDNs) with dynamic edges is very wide, as it composed a class realistic including web-winding systems, communication networks, neural etc. However, classic research topic in CDNs, the synchronization control problem, has not been effectively solved for CDNs edges. This paper will investigate emergence mechanism from perspective large-scale systems. Firstly, CDN conceptualized an interconnected coupled system edge subsystem (ES) and node (NS). Then, based on proposed improved directed matrix ES model expanded inequality, this overcomes limitations coupling term design models strong correlation tracking targets between nodes Due to effect synthesized controller auxiliary ES, state can be realized CDN. Finally, through simulation examples, validity advantages our work compared existing methods are demonstrated.

Язык: Английский

Adaptive dynamical networks DOI
Rico Berner, Thilo Groß, Christian Kuehn

и другие.

Physics Reports, Год журнала: 2023, Номер 1031, С. 1 - 59

Опубликована: Авг. 1, 2023

Язык: Английский

Процитировано

68

Alignment-induced self-organization of autonomously steering microswimmers: Turbulence, clusters, vortices, and jets DOI Creative Commons
Segun Goh, E. Westphal, Roland G. Winkler

и другие.

Physical Review Research, Год журнала: 2025, Номер 7(1)

Опубликована: Фев. 7, 2025

Microorganisms can sense their environment and adapt movement accordingly, which gives rise to a multitude of collective phenomena, including active turbulence bioconvection. In fluid environments, self-organization is governed by hydrodynamic interactions. By large-scale mesoscale hydrodynamics simulations, we study the motion polar microswimmers, align propulsion direction steering with that neighbors. The simulations employed squirmer model reveal distinct dependence on type microswimmer—puller or pusher—flow field. No global alignment emerges in both cases. Instead, pushers characterized turbulence, nearly homogeneous density Gaussian velocity distribution; strong self-steering enhances local coherent microswimmers leads fluid-flow speeds much larger than individual swim speed. Pullers exhibit tendency for clustering display vorticity distributions fat exponential tails; dynamics chaotic, temporal appearance vortex rings jets. Our results show behavior autonomously displays rich variety dynamic self-organized structures. imply guidelines design microrobotic systems. Published American Physical Society 2025

Язык: Английский

Процитировано

2

Tiered synchronization in Kuramoto oscillators with adaptive higher-order interactions DOI Open Access
Priyanka Rajwani, Ayushi Suman, Sarika Jalan

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(6)

Опубликована: Июнь 1, 2023

Phase transitions widely occur in natural systems. Incorporation of higher-order interactions coupled dynamics is known to cause first-order phase transition synchronization an otherwise smooth second-order the presence only pairwise interactions. Here, we discover that adaptation restores former setup and notably produces additional bifurcation referred as tiered a consequence combination super-critical pitchfork two saddle node bifurcations. The Ott-Antonsen manifold underlines interplay instigating synchronization, well provides complete description all (un)stable states. These results would be important comprehending real-world systems with inherent through feedback coupling.

Язык: Английский

Процитировано

23

Synchronization enhancement subjected to adaptive blinking coupling DOI
Reza Irankhah, Mahtab Mehrabbeik, Fatemeh Parastesh

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(2)

Опубликована: Фев. 1, 2024

Synchronization holds a significant role, notably within chaotic systems, in various contexts where the coordinated behavior of systems plays pivotal and indispensable role. Hence, many studies have been dedicated to investigating underlying mechanism synchronization systems. Networks with time-varying coupling, particularly those blinking proven essential. The reason is that such coupling schemes introduce dynamic variations enhance adaptability robustness, making them applicable real-world scenarios. This paper introduces novel adaptive wherein adapts dynamically based on most influential variable exhibiting average disparity. To ensure an equitable selection effective at each time instance, difference normalized synchronous solution’s range. Due this selection, enhancement expected be observed. hypothesis assessed networks identical encompassing Lorenz, Rössler, Chen, Hindmarsh–Rose, forced Duffing, van der Pol results demonstrated substantial improvement when employing applying normalization process.

Язык: Английский

Процитировано

7

Persistent and responsive collective motion with adaptive time delay DOI Creative Commons
Zhihan Chen, Yuebing Zheng

Science Advances, Год журнала: 2024, Номер 10(14)

Опубликована: Апрель 3, 2024

It is beneficial for collective structures to simultaneously have high persistence environmental noise and responsivity nontrivial external stimuli. However, without the ability differentiate useful information from noise, there always a tradeoff between within structures. To address this, we propose adaptive time delay inspired by behavior observed in school of fish. This strategy tested using particles powered optothermal fields coupled with an optical feedback-control system. By applying proper threshold, experimentally observe enhanced approximately 1.6 times sacrificing persistence. Furthermore, integrate long-distance transportation obstacle-avoidance capabilities prototype swarm microrobots. research demonstrates potential persistence-responsivity lays foundation intelligent micro/nanorobots operating complex environments.

Язык: Английский

Процитировано

6

The spatial dynamics and phase transitions in non-identical swarmalators DOI
Sheida Ansarinasab, Fahimeh Nazarimehr, Gourab Kumar Sar

и другие.

Nonlinear Dynamics, Год журнала: 2024, Номер 112(12), С. 10465 - 10483

Опубликована: Апрель 30, 2024

Язык: Английский

Процитировано

5

Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity DOI Creative Commons
Kanishk Chauhan, Alexander Neiman, Peter A. Tass

и другие.

PLoS Computational Biology, Год журнала: 2024, Номер 20(7), С. e1012261 - e1012261

Опубликована: Июль 9, 2024

Abnormally strong neural synchronization may impair brain function, as observed in several disorders. We computationally study how neuronal dynamics, synaptic weights, and network structure co-emerge, particular, during (de)synchronization processes they are affected by external perturbation. To investigate the impact of different types plasticity mechanisms, we combine a excitatory integrate-and-fire neurons with weight and/or structural mechanisms: (i) only spike-timing-dependent (STDP), (ii) homeostatic (hSP), i.e., without weight-dependent pruning STDP, (iii) combination STDP hSP, pruning, (iv) (SP) that includes hSP pruning. accommodate diverse time scales firing, SP, introduce simple stochastic SP model, enabling detailed numerical analyses. With tools from theory, reveal reorganization remarkably enhance network’s level synchrony. When weaker contacts preferentially eliminated synchrony is achieved significantly sparser connections than randomly structured networks STDP-only model. In strengthening higher natural firing rates to those lower weakening opposite direction, followed selective removal weak contacts, allows for fewer connections. This activity-led results emergence degree-frequency, degree-degree correlations, mixture degree assortativity. compare stimulation-induced desynchronization synchronized states model models (iv). The latter require stimuli intensity achieve long-term desynchronization. These findings inform future pre-clinical clinical studies invasive or non-invasive stimulus modalities aiming at inducing long-lasting relief symptoms, e.g., Parkinson’s disease.

Язык: Английский

Процитировано

5

Adaptation rules inducing synchronization of heterogeneous Kuramoto oscillator network with triadic couplings DOI Open Access
Anastasiia A. Emelianova, Vladimir I. Nekorkin

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(2)

Опубликована: Фев. 1, 2024

A class of adaptation functions is found for which a synchronous mode with different number phase clusters exists in network oscillators triadic couplings. This implemented fairly wide range initial conditions and the maximum four. The joint influence coupling strength parameters on synchronization has been studied. desynchronization transition under variation parameter occurs abruptly begins highest-frequency oscillator, spreading hierarchically to all other elements.

Язык: Английский

Процитировано

4

Hebbian and anti-Hebbian adaptation-induced dynamical states in adaptive networks DOI

S. Thamizharasan,

V. K. Chandrasekar, M. Senthilvelan

и другие.

Physical review. E, Год журнала: 2024, Номер 109(1)

Опубликована: Янв. 19, 2024

We investigate the interplay of an external forcing and adaptive network, whose connection weights coevolve with dynamical states phase oscillators. In particular, we consider Hebbian anti-Hebbian adaptation mechanisms for evolution weights. The manifests several interesting partially synchronized states, such as frequency clusters, bump state, forced entrained in addition to completely states. Anti-Hebbian facilitates manifestation itinerant chimera characterized by randomly evolving coherent incoherent domains along some aforementioned induced adaptation. introduce three distinct measures strength incoherence based on local standard deviations time-averaged instantaneous each oscillator, mean bin corroborate demarcate two parameter diagrams. also arrive at existence stability conditions state using linear analysis, which is found be consistent simulation results.

Язык: Английский

Процитировано

3

Complex Couplings - A Universal, Adaptive, and Bilinear Formulation of Power Grid Dynamics DOI Creative Commons
Anna Büttner, Frank Hellmann

PRX Energy, Год журнала: 2024, Номер 3(1)

Опубликована: Фев. 7, 2024

The energy transition introduces new classes of dynamical actors into the power grid. There is, in particular, a growing need for so-called grid-forming inverters (GFIs) that can contribute to dynamic grid stability as share synchronous generators decreases. Understanding collective behavior and future grids, featuring heterogeneous mix dynamics, remains an urgent challenging task. Two recent advances describing such modern dynamics have made this problem more tractable. First, normal form provides uniform technology-neutral description plausible including machines. Second, notion complex frequency has been introduced effortlessly describe how nodal influence flows major contribution paper is show normal-form approach complex-frequency grids combine they relate naturally adaptive networks control-affine systems. Using frequency, we derive remarkably elementary universal equation dynamics. Notably, obtain elegant entirely terms matrix couplings, which network topology does not appear explicitly. These couplings give rise formulations We formulation Kuramoto model, with inertia special case. Starting from question optimal design becomes treatable by methods affine bilinear control theory. demonstrate perspective deriving quasilocal stabilize arbitrary flows, even if effective Laplacian positive definite. Published American Physical Society 2024

Язык: Английский

Процитировано

3