Communications in Nonlinear Science and Numerical Simulation最新文献

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Enhanced Weak Signal Detection via Synchronization of Symmetrically Coupled Fractional-Order Stochastic Resonance Systems 基于对称耦合分数阶随机共振系统同步的增强弱信号检测
IF 3.9 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-10-01 DOI: 10.1016/j.cnsns.2026.110946
Lin He,Gang Zhang,Yuxin Dai,Lianbing Xu,Xiaoxiao Huang
{"title":"Enhanced Weak Signal Detection via Synchronization of Symmetrically Coupled Fractional-Order Stochastic Resonance Systems","authors":"Lin He,Gang Zhang,Yuxin Dai,Lianbing Xu,Xiaoxiao Huang","doi":"10.1016/j.cnsns.2026.110946","DOIUrl":"https://doi.org/10.1016/j.cnsns.2026.110946","url":null,"abstract":"","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"160 1","pages":"110946"},"PeriodicalIF":3.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamics of a Stochastic Reaction-Diffusion SIR Model Driven by Spatially Structured Noise 空间结构噪声驱动下随机反应扩散SIR模型动力学
IF 3.9 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-10-01 DOI: 10.1016/j.cnsns.2026.110950
Wei You,Li Yang,Zhanwen Yang,Shengqiang Liu
{"title":"Dynamics of a Stochastic Reaction-Diffusion SIR Model Driven by Spatially Structured Noise","authors":"Wei You,Li Yang,Zhanwen Yang,Shengqiang Liu","doi":"10.1016/j.cnsns.2026.110950","DOIUrl":"https://doi.org/10.1016/j.cnsns.2026.110950","url":null,"abstract":"","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"13 1","pages":"110950"},"PeriodicalIF":3.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time-semidiscrete stabilized integrating factor Runge–Kutta methods for matrix-valued Allen–Cahn equations 矩阵值Allen-Cahn方程的时-半离散稳定积分因子龙格-库塔方法
IF 3.9 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-10-01 DOI: 10.1016/j.cnsns.2026.110952
Chengxin Pan,Yaru Liu,Yiqi Gu
{"title":"Time-semidiscrete stabilized integrating factor Runge–Kutta methods for matrix-valued Allen–Cahn equations","authors":"Chengxin Pan,Yaru Liu,Yiqi Gu","doi":"10.1016/j.cnsns.2026.110952","DOIUrl":"https://doi.org/10.1016/j.cnsns.2026.110952","url":null,"abstract":"","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"11 1","pages":"110952"},"PeriodicalIF":3.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Almost-Sure Lyapunov Stability of PSO-Based Social Consensus on the Neutrosophic Simplex via Doob Supermartingales 嗜中性单纯形上基于pso的社会共识的几乎肯定Lyapunov稳定性
IF 3.9 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-09-28 DOI: 10.1016/j.cnsns.2026.110880
Bayram Arda KUŞ
{"title":"Almost-Sure Lyapunov Stability of PSO-Based Social Consensus on the Neutrosophic Simplex via Doob Supermartingales","authors":"Bayram Arda KUŞ","doi":"10.1016/j.cnsns.2026.110880","DOIUrl":"https://doi.org/10.1016/j.cnsns.2026.110880","url":null,"abstract":"Almost-sure Lyapunov stability is established for Particle Swarm Optimization (PSO) acting as a distributed social consensus protocol on the neutrosophic 2-simplex Δ². The system is modelled as a stochastic hybrid system H = (C, f, D, g) with a PSO flow (Mode 1) and anti-stagnation escape resets (Mode 2). With the Lyapunov candidate V(t) = 1 − (1/N)ΣᵢΨᵢ(t), Ψᵢ = (1−Fᵢ)(1−Iᵢ) being the epistemic reliability of agent i, three results are proved. Lemma 1 gives an explicit reliability-separation bound <ce:italic>ε<ce:inf loc=\"post\">gap</ce:inf></ce:italic> = <ce:italic>L<ce:inf loc=\"post\">Ψ</ce:inf></ce:italic> · <ce:italic>D<ce:inf loc=\"post\">net,min</ce:inf></ce:italic> &gt; 0. Theorem 2 establishes E[V(t⁺)|ℱt⁻] ≤ V(t⁻) at every escape step size, once the escape is clipped at the chord joining the stagnating agent to the reliability-weighted centroid. Theorem 3 proves V(t,j) → 0 almost surely over the hybrid time domain via Doob's non-negative supermartingale convergence theorem, the first almost-sure result for a hybrid social consensus protocol on the neutrosophic simplex, as far as the literature indicates. Proposition 3 derives tₛ ∝ 1/(1−Ī)², linking settling time to corpus mean indeterminacy Ī. Validation on six corpora (n = 17,662; health, politics, science denial, social movements) over 180 Monte Carlo runs yields V(T) = 0 in every run, tₛ = 5.4 ± 0.3, and one deviation of magnitude 3×10⁻⁴ across 25,000 hybrid transitions. Hegselmann–Krause, DeGroot and Friedkin–Johnsen all plateau above <mml:math altimg=\"si9.svg\"><mml:msub><mml:mi>V</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math><ce:italic>≥ 0.584</ce:italic> (paired t-test p &lt; 10⁻¹⁰, Cohen's d &gt; 14). The framework suggests a reusable proof template for stochastic hybrid consensus protocols.","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"34 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149085149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamics of Schr....dinger lattice system with nonlocal nonlinearity Schr动力学....具有非局部非线性的Dinger格系统
IF 3.9 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-09-01 DOI: 10.1016/j.cnsns.2026.110826
Ming Cheng,Dirk Hennig,Lingyao Meng
{"title":"Dynamics of Schr....dinger lattice system with nonlocal nonlinearity","authors":"Ming Cheng,Dirk Hennig,Lingyao Meng","doi":"10.1016/j.cnsns.2026.110826","DOIUrl":"https://doi.org/10.1016/j.cnsns.2026.110826","url":null,"abstract":"","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"70 1","pages":"110826"},"PeriodicalIF":3.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148932733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel deep neural network with the dynamical moving window data for nonlinear system identification 一种新的具有动态移动窗口数据的非线性系统辨识深度神经网络
IF 3.8 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-07-01 Epub Date: 2026-01-22 DOI: 10.1016/j.cnsns.2026.109670
Yanjiao Wang, Zhaogui Cai, Muqing Deng
{"title":"A novel deep neural network with the dynamical moving window data for nonlinear system identification","authors":"Yanjiao Wang,&nbsp;Zhaogui Cai,&nbsp;Muqing Deng","doi":"10.1016/j.cnsns.2026.109670","DOIUrl":"10.1016/j.cnsns.2026.109670","url":null,"abstract":"<div><div>Deep neural networks (DNNs) have the capability to describe complex nonlinear dynamics, which have aroused wide concerns. However, the existing parameter optimization methods in DNNs based on gradient suffer from the limitations of easily falling into local minima and the poor modeling results. To overcome these problems, this paper proposes a mini-batch gradient descent algorithm with dynamical moving window data and constructs a novel deep neural network architecture by using the simpler deep learning network instead of selecting weights through regulation and optimizing its parameters through the dynamical moving window based algorithm. The results of simulation experiments show that the proposed methods have better performance in accuracy and convergence rate compared with the existing methods for identifying nonlinear systems.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"158 ","pages":"Article 109670"},"PeriodicalIF":3.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vanishing, balancing and spreading for an impulsive faecal-oral model 消失,平衡和扩散的冲动粪-口模型
IF 3.8 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-07-01 Epub Date: 2026-02-02 DOI: 10.1016/j.cnsns.2026.109814
Qi Zhou , Zhigui Lin , Carlos Alberto Santos
{"title":"Vanishing, balancing and spreading for an impulsive faecal-oral model","authors":"Qi Zhou ,&nbsp;Zhigui Lin ,&nbsp;Carlos Alberto Santos","doi":"10.1016/j.cnsns.2026.109814","DOIUrl":"10.1016/j.cnsns.2026.109814","url":null,"abstract":"<div><div>In the transmission of faecal-oral diseases, the infected area does not always expand outward continuously. To model this phenomenon under pulse interventions, this paper proposes a free boundary problem. Our free boundary condition is governed by a nonlocal integro-differential equation, which encompasses the classical Stefan condition as a special case. First, we establish the well-posedness of the proposed problem using parabolic regularity and the contraction mapping principle. We then provide sufficient conditions for vanishing, balancing, or spreading. Finally, three numerical examples validate the theoretical results and demonstrate that this model generates more complex and realistic spatiotemporal dynamics compared to models employing the classical Stefan condition.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"158 ","pages":"Article 109814"},"PeriodicalIF":3.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamics of fear effect on a stochastic tritrophic level food chain model with Markov switching 具有马尔可夫切换的随机三营养水平食物链模型的恐惧效应动力学
IF 3.8 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-07-01 Epub Date: 2026-01-27 DOI: 10.1016/j.cnsns.2026.109798
Yuanyuan Liu, Seifu Neda Tereda, Zhexin Wen
{"title":"Dynamics of fear effect on a stochastic tritrophic level food chain model with Markov switching","authors":"Yuanyuan Liu,&nbsp;Seifu Neda Tereda,&nbsp;Zhexin Wen","doi":"10.1016/j.cnsns.2026.109798","DOIUrl":"10.1016/j.cnsns.2026.109798","url":null,"abstract":"<div><div>This article presents a stochastic tritrophic food chain model integrating fear-induced behavioral changes and Markov regime switching to capture environmental variability. We prove the existence of a unique global positive solution and derive a threshold condition, based on stochastic boundary processes, that governs the persistence or extinction of species under random perturbations. Our theoretical results are further supported by numerical simulations conducted using the tamed Milstein method, which overcomes the limitations of standard schemes. The findings offer valuable insights for ecological modeling, demonstrating that incorporating behavioral responses and stochasticity can have a significant impact on species dynamics.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"158 ","pages":"Article 109798"},"PeriodicalIF":3.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Chaos control and stabilization of a hybrid chaotic oscillator through deterministic and stochastic resets 基于确定性和随机重置的混合混沌振荡器混沌控制与镇定
IF 3.8 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-07-01 Epub Date: 2026-01-28 DOI: 10.1016/j.cnsns.2026.109796
Ulises Chialva , Walter Reartes
{"title":"Chaos control and stabilization of a hybrid chaotic oscillator through deterministic and stochastic resets","authors":"Ulises Chialva ,&nbsp;Walter Reartes","doi":"10.1016/j.cnsns.2026.109796","DOIUrl":"10.1016/j.cnsns.2026.109796","url":null,"abstract":"<div><div>We study the control of chaotic dynamics in the hybrid Nakano-Saito oscillator through periodic resetting schemes. In contrast to most existing approaches, which rely on Lyapunov-based constructions or optimization-driven control strategies, we focus on the underlying dynamical mechanisms responsible for the emergence of controlled and uncontrolled regimes. By analyzing the associated impact (return) map, we identify well-defined control windows that give rise to stable periodic solutions and investigate their dependence on the ratio <em>γ</em> between the oscillator’s natural frequency and the control frequency. We provide an analytical proof for the existence of a limit cycle and use this result to characterize the main control windows of the system, revealing distinct bifurcation phenomena that enable different regimes of chaos control within this canonical hybrid framework. Finally, we examine a stochastic resetting protocol governed by an inverse Gaussian distribution and show that it can outperform deterministic control schemes subject to timing jitter, achieving enhanced stabilization. These results demonstrate that classical dynamical systems tools are sufficient to derive precise control conditions and to assess control effectiveness even in stochastic hybrid settings.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"158 ","pages":"Article 109796"},"PeriodicalIF":3.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Construction and box-counting dimension of the Edelstein hidden variable fractal interpolation function Edelstein隐变量分形插值函数的构造与盒维数
IF 3.8 2区 数学
Communications in Nonlinear Science and Numerical Simulation Pub Date : 2026-07-01 Epub Date: 2026-01-24 DOI: 10.1016/j.cnsns.2026.109790
Aiswarya Thekkeettil, Srijanani Anurag Prasad
{"title":"Construction and box-counting dimension of the Edelstein hidden variable fractal interpolation function","authors":"Aiswarya Thekkeettil,&nbsp;Srijanani Anurag Prasad","doi":"10.1016/j.cnsns.2026.109790","DOIUrl":"10.1016/j.cnsns.2026.109790","url":null,"abstract":"<div><div>This paper presents the construction of a hidden variable fractal interpolation function using Edelstein contractions in an iterated function system based on a finite collection of data points. The approach incorporates an iterated function system where variable functions act as vertical scaling factors leading to a generalised vector-valued fractal interpolation function. Furthermore, the paper rigorously examines the smoothness of the constructed function and establishes an upper bound for the box-counting dimension of its graph.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"158 ","pages":"Article 109790"},"PeriodicalIF":3.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146047905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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