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

Detection of Parkinson’s disease using nocturnal breathing signals based on multifractal detrended fluctuation analysis DOI
Zhong Dai, Shutang Liu, Changan Liu

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(12)

Опубликована: Дек. 1, 2024

Parkinson’s disease (PD) is a highly prevalent neurodegenerative disorder that poses significant challenge in terms of accurate and cost-effective diagnosis. This study focuses on the use fractal features derived from nocturnal breathing signals to diagnose PD. Our includes 49 individuals with (PD group), relatively healthy without PD (HC but other diseases (NoPD as well 12 additional patients 200 for testing. Using multifractal detrended fluctuation analysis, we extracted signals, logistic regression models applied PD, demonstrated receiver operating characteristic curves. Eight show diagnostic potential including generalized Hurst exponents Airflow, Thorax, Abdomen spectrum width SaO2 signal. Finally, area under curve (AUC) training data set HC groups all four 0.911, AUC testing 0.929. These results demonstrate this work enhance accuracy diagnosis clinical settings.

Язык: Английский

Процитировано

1

Synchronization transitions in adaptive simplicial complexes with cooperative and competitive dynamics DOI

S. Nirmala Jenifer,

Dibakar Ghosh, Paulsamy Muruganandam

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(12)

Опубликована: Дек. 1, 2024

Adaptive network is a powerful presentation to describe different real-world phenomena. However, current models often neglect higher-order interactions (beyond pairwise interactions) and diverse adaptation types (cooperative competitive) commonly observed in systems such as the human brain social networks. This work addresses this gap by incorporating these factors into model that explores their impact on collective properties synchronization. Through simplified representations, we investigate how simultaneous presence of cooperative competitive adaptations influences phase transitions. Our findings reveal transition from first-order second-order synchronization strength increases under adaptation. We also demonstrate possibility even without interactions, provided there strong enough coupling. When only are present, system exhibits second-order-like transitions clustering. Conversely, with combination adaptations, undergoes first-order-like transition, characterized sharp synchronized state reverting an incoherent during backward The specific nature varies depending coupling strengths mean degrees. With our model, can control not when synchronizes but way goes

Язык: Английский

Процитировано

1

Low-dimensional behavior of a Kuramoto model with inertia and Hebbian learning DOI Open Access
Tachin Ruangkriengsin, Mason A. Porter

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(12)

Опубликована: Дек. 1, 2023

We study low-dimensional dynamics in a Kuramoto model with inertia and Hebbian learning. In this model, the coupling strength between oscillators depends on phase differences changes according to learning rule. analyze special case of two coupled oscillators, which yields five-dimensional dynamical system that decouples into two-dimensional longitudinal three-dimensional transverse system. readily write an exact solution system, we then focus our attention classify stability system’s equilibrium points using linear analysis. show is dissipative all its trajectories are eventually confined bounded region. compute Lyapunov exponents infer possible limiting behaviors, demarcate parameter regions three qualitatively different behaviors. Using insights from analysis dynamics, examine original high-dimensional situation draw intrinsic frequencies Gaussian distributions variances.

Язык: Английский

Процитировано

3

Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II DOI Creative Commons
Thanos Manos, Chris G. Antonopoulos, Antônio M. Batista

и другие.

Frontiers in Computational Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Март 5, 2024

EDITORIAL article Front. Comput. Neurosci., 05 March 2024 Volume 18 - | https://doi.org/10.3389/fncom.2024.1386652

Процитировано

0

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

Процитировано

0