-
Projective synchronization for distinct fractional-order neural networks consist of inconsistent orders via sliding mode control Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-16 Junshuang Zhou, Deyi Li, Guici Chen, Shiping Wen
The present study delves into the projective synchronization for distinct fractional-order neural networks consist of inconsistent orders, employing the principles of sliding mode control and incorporating fractional operators within the controller. Firstly, incorporating the fractional-order derivative into the controller facilitates the derivation of a synchronous error system, and a well-suited
-
Fuzzy adaptive event-triggered synchronization control mechanism for T-S fuzzy RDNNs under deception attacks Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-16 Shuoting Wang, Kaibo Shi, Jinde Cao, Shiping Wen
In this paper, a fuzzy-dependent adaptive event-triggered mechanism (FAETM) for synchronizing Takagi–Sugeno (T-S) fuzzy reaction–diffusion neural networks (RDNNs) is developed while considering deception attacks. Firstly, a general neural network model considering both fuzzy logic rules and reaction–diffusion terms is established. Secondly, a FAETM based on an aperiodic sampling period is presented
-
Lyapunov stability of fuzzy dynamical systems based on fuzzy-number-valued function granular differentiability Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-16 Hong Yang, Yu Chen
Lyapunov stability theory provides a powerful technique for stability analysis of dynamical systems, particularly for the stability of nonlinear dynamical system. This paper deals with the stability of fuzzy dynamical systems using a novel notion called granular fuzzy Lyapunov function. In order to analyze the stability, some new notions are introduced such as fuzzy equilibrium point, the ball of fuzzy
-
Leader-following synchronization for Lur’e networks via dynamic event-triggered control Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-16 Zhengxin Wang, Haonan Xu, Sijiao Sun, Yang Liu, Min Xiao, Jinde Cao
This paper considers synchronization of Lur’e systems under a dynamic event-triggered framework. To facilitate the study, a novel time-varying sampled-data-related dynamic event-triggered control (ETC) related to fully discrete local information is proposed, which does not require continuous communication among nodes and naturally avoids Zeno behavior. By using the Halanay inequality, a number of sufficient
-
Novel superconvergence analysis of a low order FEM for nonlinear time-fractional Joule heating problem Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-16 Xiangyu Shi, Haijie Wang, Dongyang Shi
The aim of this paper is to develop and investigate a fully-discrete scheme with conforming element for the nonlinear time-fractional Joule heating problem in which the Caputo derivative is approximated by the classical method. First, a novel superclose estimate in the -norm is derived rigorously with some new analysis techniques under low regularity of the solutions rather than and required in the
-
A two–strain avian–human influenza model with environmental transmission: Stability analysis and optimal control strategies Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-15 Calvin Tadmon, Arnaud Feukouo Fossi, Berge Tsanou
On the basis of the WHO legitimated fear that there will be an avian influenza virus strain capable of mutating once it reaches the human population and sustains human-to-human transmissions, we formulate an hypothetical mathematical model which accounts for the environmental transmission and mutation of an avian influenza virus having the ability to spill over into the human population and become
-
Non-smooth dynamics of a fishery model with a two-threshold harvesting policy Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-15 Joydeb Bhattacharyya, Malay Banerjee, Soumitro Banerjee
The non-linear dynamical systems theory helps implement regulatory measures to control the growth and evolution of various populations. While invasion by alien fish species is an emerging threat to native fish species in marine ecosystems, a suitable fishery management protocol needs to be incorporated in marine protected areas (MPAs) to mitigate the problem. We propose a policy of selective harvesting
-
Global exponential synchronization of switching neural networks with leakage time-varying delays Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-15 Shilei Yuan, Yantao Wang, Xian Zhang
In this paper, the synchronization problem of a class of switching neural networks with leakage time-varying delays is studied. A system solution-based direct analysis method is proposed to derive the sufficient conditions of global exponential synchronization for master–slave systems. Firstly, the state variable expression of the error system is derived by constructing a suitable regulation function
-
Symmetry of the stochastic Rayleigh equation and features of bubble dynamics near the Blake threshold Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-15 A.O. Maksimov
Ultrasonic cleaning is widely accepted as being an extremely efficient method of decontaminating a diverse range of objects and products. Optimization of the process is generally achieved by variation in the intensity and the spectrum of ultrasound. This spectrum takes the form of individual lines, which are superimposed on the noise background. The stochastic dynamics of the bubble in the acoustic
-
Data‐Driven Detection of Integrated Energy Theft Based on VMD‐MIC and Informer Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-15 Yang Liu, Lei Wang, Hongwei Liu, Pengchao Zhang, Qiaoyong Jiang
-
A relaxation approach to modeling properties of hyperbolic-parabolic type models Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-12 Eduardo Abreu, Arthur Espírito Santo, Wanderson Lambert, John Pérez
In this work, we propose a novel relaxation modeling approach for partial differential equations (PDEs) involving convective and diffusive terms. We reformulate the original convection–diffusion problem as a system of hyperbolic equations coupled with relaxation terms. In contrast to existing literature on relaxation modeling, where the solution of the reformulated problem converges to certain types
-
Stability of periodic waves for the defocusing fractional cubic nonlinear Schrödinger equation Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-12 Handan Borluk, Gulcin M. Muslu, Fábio Natali
In this paper, we determine the spectral instability of periodic odd waves for the defocusing fractional cubic nonlinear Schrödinger equation. Our approach is based on periodic perturbations that have the same period as the standing wave solution, and we construct real periodic waves by minimizing a suitable constrained problem. The odd solution generates three negative simple eigenvalues for the associated
-
A Lightweight YOLO Object Detection Algorithm Based on Bidirectional Multi‐Scale Feature Enhancement Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-12 Qunpo Liu, Jingwen Zhang, Zhuoran Zhang, Xuhui Bu, Naohiko Hanajima
-
Consistent Meta-modelling approach for a less-conservative Reliability based Design of Shells against Buckling Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-11 Rohan Majumder, Sudib K. Mishra
Knock Down Factors (KDFs) are used to predict the drastic post-critical load drop in shells due to nonlinear modal interactions under geometric imperfections. However, the KDFs are over-conservative due to their lower bound estimation form the experimental dataset. Economic design should reconcile such deficit by nonlinear analysis of shells, aided with reliability, accounting random imperfections
-
Enhanced multi-strategy bottlenose dolphin optimizer for UAVs path planning Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-11 Gang Hu, Feiyang Huang, Amir Seyyedabbasi, Guo Wei
The path planning of unmanned aerial vehicle is a complex practical optimization problem, which is an important part of unmanned aerial vehicle technology. For constrained path planning problem, the traditional path planning methods can not deal with the complex constraint conditions well, and the classical nature-inspired algorithms will find the local optimal solution due to the lack of optimization
-
Modulation instability and collision dynamics of solitons in birefringence optical fibers Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Fei-Fei Liu, Xing Lü, Jian-Ping Wang, Xian-Wei Zhou
In this paper, we investigate soliton modulation instability and collision dynamics in the birefringence optical fibers. Soliton transmission in the picosecond or femtosecond range in optical fibers is described by the coupled hybrid nonlinear Schrödinger equations. We focus on the modulation instability of the plane wave and the gain spectrum under different parameters. The three-soliton solutions
-
Enhanced parallel computation for time-fractional fluid dynamics: A fast time-stepping method with Newton-Krylov-Schwarz solver Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Li Xia, Xiaoyun Jiang, Fanhai Zeng, Zeng Lin, Shanlin Qin, Rongliang Chen
This paper presents a sum-of-exponentials domain decomposition method for the numerical simulation of two-dimensional unsteady fluid flow and heat transfer using a time-fractional fluid model. We employ a fast time-stepping approach to discretize the time-fractional derivatives, followed by the application of a parallel Newton-Krylov-Schwarz algorithm to solve the resulting discrete nonlinear system
-
Folding Domain Functions (FDF): A Random Variable Transformation technique for the non-invertible case, with applications to RDEs Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Fabrizio Masullo, Fabio Zanolin, Josep Bonet Avalos
The Random Variable Transformation (RVT) method is a fundamental tool for determining the probability distribution function associated with a Random Variable (RV) where is a RV and is a suitable transformation. In the usual applications of this method, one has to evaluate the derivative of This can be a straightforward procedure when is invertible, while difficulties may arise when is non-invertible
-
Analysis of quasi-variational–hemivariational inequalities with applications to Bingham-type fluids Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Stanisław Migórski, Yang Chao, Jiahong He, Sylwia Dudek
In this paper we study the sensitivity analysis of elliptic quasi-variational–hemivariational inequalities with constraint. The upper semicontinuity property of the solution map with respect to a parameter is established. An application to the steady-state incompressible Navier–Stokes equation with mixed boundary conditions in a model for a generalized Newtonian fluid of Bingham-type is provided. The
-
Stability and nonlinear vibrations of an inclined axially moving beam considering self-weight Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Zhenhao Shi, Chao Wang, Guo Yao
The transmission device of the astronautic exploration vehicle can be regarded as an inclined beam experiencing axial motion under varying gravitational acceleration and tilt angle. Understanding the instability and vibration characteristics of this structure with axial movement is crucial for the dynamic design of the astronautic exploration vehicle. This paper discusses the stability and non-linear
-
Fractional damping induces resonant behavior in the Duffing oscillator Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Mattia Coccolo, Jesús M. Seoane, Miguel A.F. Sanjuán
The interaction between the fractional order parameter and the damping parameter can play a relevant role for introducing different dynamical behaviors in a physical system. Here, we study the Duffing oscillator with a fractional damping term. Our findings show that for certain values of the fractional order parameter, the damping parameter, and the forcing amplitude high oscillations amplitude can
-
Shape transformation on curved surfaces using a phase-field model Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-11 Hyundong Kim, Seungyoon Kang, Gyeonggyu Lee, Sungha Yoon, Junseok Kim
Shape transformation on evolving curved surfaces is essential for its diverse applications across various scientific disciplines and facilitates the deeper understanding of natural phenomena, the development of new materials, and engineering design optimization. In this study, we develop a phase-field model and its numerical methods for shape transformation on curved surfaces. A modified surface Allen–Cahn
-
Exact solution for hygro-thermo-mechanical creep and recovery of viscoelastic laminated beam Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-10 Peng Wu, Jie Wang, Ding Zhou, Xiaolong Li, Kong Yue
In order to predict the creep and recovery behaviors of for viscoelastic laminated beam in hygro-thermo-mechanical (HTM) coupled condition, an exact analytical solution is proposed. This solution considers two effect mechanisms: temperature and humidity, including the expansion difference and the variation of viscoelastic properties. In the analytical model, the stresses and displacements of each lamina
-
Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-09 Gabriel Davidyan, Jacob Bortman, Ron S. Kenett
-
Line Edge Roughness Effects on the Thermoelectric Properties of Armchair Black Phosphorene Nanoribbons Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-09 Ebrahim Pishevar, Hossein Karamitaheri
-
Sphractal: Estimating the Fractal Dimension of Surfaces Computed from Precise Atomic Coordinates via Box‐Counting Algorithm Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-09 Jonathan Yik Chang Ting, Andrew Thomas Agars Wood, Amanda Susan Barnard
-
Global dynamics of a periodic brucellosis model with time delay and environmental factors Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-08 Xia Ma, Gui-Quan Sun
In China, brucellosis has always been a significant public health issue, especially in the pastoral regions of northern provinces where animal husbandry is well-developed. However, the impact of control measures, breeding characteristics and temperature fluctuations on the transmission dynamics of brucellosis outbreaks remains unclear. We construct a periodic mechanism-driven dynamic model with latent
-
Exploring the impact of biocontrol and temperature variations on the population dynamics of Paracoccus marginatus Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-08 Martin Dountio, A. Nana Yakam, Samuel Bowong
The mealybug () is one of the most important pests of papaya (Carica papaya L.). The high potential damage of this pest threatens papaya production. The objective of this paper is to explore the impact of biocontrol and temperature variations on the population dynamics of . We propose a mathematical model for the dynamics of within a papaya field. This model consists of a time-delayed non-autonomous
-
A thermo-chemo-mechanically coupled peridynamics for investigating crack behavior in solids Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-08 Yu Xiang, Bao Qin, Zhenjun Jiao, Zheng Zhong
In engineering applications, the phenomenon of cracking is often accompanied by a coupled multiphysics effect. Peridynamics (PD) is an effective approach for solving cracking problems, but currently, no general PD model accounts for the coupling of multiple physical fields. In this work, we develop a PD model of coupled deformation, heat conduction, species diffusion, and chemical reactions. First
-
The virtual element method with interior penalty for the fourth-order singular perturbation problem Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-08 Bei Zhang, Jikun Zhao
We present the virtual element method with interior penalty to solve a fourth-order singular perturbation problem. In order to estimate the nonconformity error, the degrees of freedom on edges are changed to the moments of functions in the interior penalty scheme. To do this, we design a special -type projection that can be uniquely determined by the new degrees of freedom. With the help of the -type
-
Image Processing Using High‐Index Dielectric Metasurfaces Based on Fano Resonance Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-08 Mohammad Nassiri, Mohammad Yazdi
-
ANDClust: An Adaptive Neighborhood Distance‐Based Clustering Algorithm to Cluster Varying Density and/or Neck‐Typed Datasets Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-08 Ali Şenol
-
Statics and dynamics of pulley-driven tensegrity structures with sliding cable modeling Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-07 Shuo Ma, Muhao Chen, Yongcan Dong, Xingfei Yuan, Robert E. Skelton
This article introduces the concept of Pulley-Driven Clustered Tensegrity Structures (PD-CTS) and develops non-linear and linearized static and dynamic equations using the Lagrangian method. The generalized coordinates utilized in this framework comprise the nodal coordinates of the tensegrity structure and the string sliding distances. The governing equations are specifically constructed, considering
-
A structure-preserving projection method with formal second-order accuracy for the incompressible Navier–Stokes equations Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-07 Junxiang Yang, Yibao Li, Junseok Kim
The incompressible Navier–Stokes equations play an important role in describing extensive fluid phenomena in science and engineering. With some specific boundary treatments, the Navier–Stokes equations can satisfy an energy evolutional structure with respect to kinetic energy and works done by external forces. If the external forces are absent, the energy dissipation law is obtained. This work aims
-
The dimension reduction method of two-grid Crank–Nicolson mixed finite element solution coefficient vectors for nonlinear fourth-order reaction diffusion equation with temporal fractional derivative Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-07 Yihui Zeng, Yuejie Li, Yitian Zeng, Yihua Cai, Zhendong Luo
Herein, we mainly resort to a proper orthogonal decomposition (POD) to study the dimension reduction of unknown solution coefficient vectors in the two-grid Crank–Nicolson mixed finite element (CNMFE) (TGCNMFE) method for the nonlinear fourth-order reaction diffusion equation with temporal fractional derivative and establish a new reduced-dimension extrapolated TGCNMFE (RDETGCNMFE) method. For this
-
Security synchronization problem for stochastic complex networks via event-triggered impulsive control with actuation delays Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-07 Zhengli Liu, Mengzhuo Luo, Jun Cheng, Iyad Katib, Kaibo Shi
This study focused on the security synchronization problem for stochastic complex networks (SCNs) via event-triggered impulsive control (ETIC) with actuation delays. Firstly, incorporating the network topology and the Lyapunov function theory, a novel event-triggered mechanism (ETM) is devised, which accounts for actuation delays; Secondly, an ETM-based quantizer is introduced to optimize network resources
-
Effect of Particle Factors on the Reflux and Blockage of a Deep‐Sea Six‐Stage Pump Based on CFD‐DEM (Adv. Theory Simul. 3/2024) Adv. Theory Simul. (IF 3.3) Pub Date : 2024-03-07 Qiong Hu, Jingyan Zhu, Liwen Deng, Jun Chen, Yangyang Wang
-
-
Efficient mass-preserving finite volume approach for the rennet-induced coagulation equation Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Mehakpreet Singh, Nikhil Sriwastav, Orest Shardt
The coagulation of casein micelles caused by enzymes is a critical step in the dairy industry for cheese manufacture. During enzymatic coagulation of milk, three processes occur: enzymic proteolysis, coagulation, and gelation. This study presents the first numerical approach based on a finite volume scheme for describing the enzyme-induced coagulation of casein micelles. The finite volume scheme is
-
Suppressing chaotic oscillations of a tether anchored to the Phobos surface under the L1 libration point Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Vladimir S. Aslanov
The paper deals with the problem of the chaotic behaviour of a tethered system anchored on the Phobos surface directly under the L1 collinear libration point. Two gravitational forces of Mars and Phobos, plus a centrifugal force due to the rotation of the Mars-Phobos system, act on the tether. These forces vary with time due to the small eccentricity of the Mars-Phobos orbit. The basic assumptions
-
Design and application of multiscroll chaotic attractors based on a novel multi-segmented memristor Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Jie Zhang, Jiangang Zuo, Meng Wang, Yan Guo, Qinggang Xie, Jinyou Hou
Introducing memristors into the traditional chaotic system can generate multiscroll chaotic attractors, expanding possibilities for information processing and chaotic applications. This paper first proposes a novel multi-segment memristor model based on a multi-segment linear function. Then, based on the Sprott-B system, one-directional memristive multiscroll chaotic attractors (1D-MMSCAs), 2D-MMSCAs
-
Complexity from ordinal pattern positioned slopes (COPPS) Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Jean Sire Armand Eyebe Fouda, Wolfram Koepf, Norbert Marwan, Jürgen Kurths, Thomas Penzel
Measuring complexity allows to characterize complex systems. Existing techniques are limited to simultaneously measure complexity from short length data sets, detect transitions and periodic dynamics. This paper presents an approach based on ordinal pattern positioned slopes (OPPS). It considers exclusively OPPS group occurrences to compute the complexity from OPPS (COPPS) as the average number of
-
Fractal surfaces in Lebesgue spaces with respect to fractal measures and associated fractal operators Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Rattan Lal, Subhash Chandra, Ajay Prajapati
The goal of this article is to study the fractal surfaces and associated fractal operator on Lebesgue spaces with respect to fractal measures. First, we show that fractal surfaces belongs to Lebesgue spaces under certain conditions. Then, we define a fractal operator on Lebesgue spaces and discuss some analytical properties of it. Moreover, we show the existence of Schauder basis of the associated
-
Higher order investigation on modulated waves in the Peyrard–Bishop–Dauxois DNA model Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Arnaud Djine, Nkeh Oma Nfor, Guy Roger Deffo, Serge Bruno Yamgoué
Despite the widespread use of transcendental functions in the modeling of the dynamics of DNA, most research efforts are limited in their analytical studies of this enthralling system to cubic order polynomial approximations of the corresponding equations of motion. In this paper, we present an investigation of waves in the Peyrard–Bishop–Dauxois model of DNA; while extending the polynomial approximation
-
The mKdV equation under the Gaussian white noise and Wiener process: Darboux transformation and stochastic soliton solutions Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Rui-rui Yuan, Ying Shi, Song-lin Zhao, Wen-zhuo Wang
In this paper, we propose a novel integrable system named the stochastic mKdV equation, along with its corresponding Lax pair. We aim to extend the methodology of deterministic integrable systems to construct and solve stochastic integrable systems. The Darboux transformation effectively obtains analytic solutions for the integrable stochastic mKdV equation. Using the Darboux transformation, soliton
-
Stability, period and chaos of the evolutionary game strategy induced by time-delay and mutation feedback Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-06 Yifei Wang, Xinzhu Meng, Abdullah Khames Alzahrani
In the classical evolutionary game theory, mutation is usually considered as a constant, however strategy mutation is affected by strategies in the real game process. Therefore, the main purpose of this paper is to study the effects of mutation feedback and time delays on strategy dynamics, where mutation is a linear feedback related to strategy. First, we construct a co-evolutionary game model with
-
A novel damped conformable fractional grey Bernoulli model and its applications in energy prediction with uncertainties Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-06 Nailu Li, Eto Sultanan Razia, Haonan Ba
Energy resources, such as oil, coal are important to people's life and the development of the economy. Predicting the energy consumption and production with uncertainties can help the government and policymakers make the reasonable energy strategy and give constructive guidance. In this paper, a novel damped conformable fractional accumulation operator with two parameters are proposed to have control
-
Enriched nonlinear grey compositional model for analyzing multi-trend mixed data and practical applications Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-06 Hui Li, Naiming Xie, Kailing Li
The compositional data are interrelated, and analyzing the evolution of each component is crucial for understanding population dynamics. However, the complex structure and tedious process of modeling pose challenges to the reasonable construction of grey compositional models for analyzing multi-trend mixed data. To address this, a novel enriched nonlinear grey compositional model with global multi-parameter
-
Condition monitoring of wind turbine faults: Modeling and savings Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-06 Henrik Hviid Hansen, Neil MacDougall, Christopher Dam Jensen, Murat Kulahci, Bo Friis Nielsen
This paper presents a case study on condition monitoring of power generators at offshore wind turbines. Two fault detection models are proposed for detecting sudden changes in the sensed value of metallic debris at the generator. The first model uses an exponentially weighted moving average, while the second monitors first-order derivatives using a fixed threshold. This is expected to improve the maintenance
-
Novel passivity and dissipativity criteria for discrete-time fractional generalized delayed Cohen–Grossberg neural networks Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-06 Chen Wang, Hai Zhang, Danli Wen, Mouquan Shen, Liwei Li, Zhihao Zhang
This paper pays attention to the passivity and dissipativity for discrete-time fractional generalized delayed Cohen-Grossberg neural networks. A new fractional passive lemma is firstly proposed for discrete-time system by means of the Lyapunov functional. This facilitates the discussion of system stabilization in terms of input and output energy. Some passive and dissipative conditions are established
-
Mechanism and quantitative criterion of free vibration characteristics of hydraulic systems using the water hammer reflection coefficient Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-06 Yi Liu, Jian Zhang, Xiaodong Yu, WeiXin Qiu, Zhe Liu
Hydraulic vibration is a periodic hydraulic transient in piping systems, which can result in local damage and operating accidents involving hydraulic, mechanical, and electrical systems. However, traditional hydraulic vibration theory is limited in practical application because of its complex mathematical form and low computational efficiency. This study presents a free vibration analysis method of
-
Numerical analysis of the kinetic equation describing isotropic 4-wave interactions in non-linear physical systems Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-06 B.V. Semisalov, S.B. Medvedev, S.V. Nazarenko, M.P. Fedoruk
We develop a numerical method for solving kinetic equations (KEs) that describe out-of-equilibrium isotropic nonlinear four-wave interactions in optics, deep-water wave theory, physics of superfluids and Bose gases, and in other applications. High complexity of studying numerically the wave kinetics in these applications is related with the multi-scale nature of turbulence and with power-law behaviour
-
Hedging lookback-barrier option by Malliavin calculus in a mixed fractional Brownian motion environment Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-06 Kefan Liu, Jichao Zhang, Yueting Yang
We present a Malliavin calculus approach to a mixed fractional Brownian motion option hedging model, that adequately describes, e.g., the hedging of a lookback-barrier option with the floating strike price. The Markovian setup and smooth stochastic differentials are necessary components in the payoff function for classical -hedging of a contingent claim. This is in contrast to the Malliavin calculus
-
Breather solutions for a radially symmetric curl-curl wave equation with double power nonlinearity Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-03-06 Xin Meng, Shuguan Ji
This paper is concerned with breather solutions of a radially symmetric curl-curl wave equation with double power nonlinearity where , is the unknown function, and are radially symmetric coefficient functions with . By considering the solutions with a special form , we obtain a family of ordinary differential equations (ODEs) parameterized by the radial variable . Then we characterize periodic behaviors
-
Double well stochastic resonance for a class of three-dimensional financial systems Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-05 Jianjun Wu, Lu Xia
The significant changes in factors such as interest rates, investment demand, and price indices greatly influence the response patterns of the financial system, bringing about increased uncertainty to financial markets. Exploring methods to enhance financial stability and regulatory capabilities, effectively mitigating market disruptions caused by emerging phenomena, constitutes a highly meaningful
-
Fixed-time synchronization of Inertial Cohen-Grossberg Neural Networks with state dependent delayed impulse control and its application to multi-image encryption Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-05 P. Kowsalya, S.S. Mohanrasu, Ardak Kashkynbayev, P. Gokul, R. Rakkiyappan
In this paper, we discussed about fixed-time synchronization (FXTS) of Inertial Cohen-Grossberg Neural Networks (ICGNNs) with state-dependent delayed impulses. The Lyapunov stability theory and several useful criteria are utilized to make sure that the control parameters are selected in sync with the intended settling time. Two types of the controller are developed in order to guarantee that error-delayed
-
Heterogeneous parallel computing based real-time chaotic video encryption and its application to drone-oriented secure communication Chaos Solitons Fractals (IF 7.8) Pub Date : 2024-03-05 Fan-feng Shi, Tao Li, Hao-yu Hu, Yi-fei Li, Dan Shan, Dong Jiang
This paper proposes a real-time video encryption strategy based on multi-round confusion–diffusion architecture and heterogeneous parallel computing. It leverages the powerful computing capacity of the Central Processing Unit (CPU) and the high parallel capability of the Graphics Processing Unit (GPU) to perform byte generation, confusion and diffusion operations concurrently, thereby enhancing computational
-
A hybrid smoothed-particle hydrodynamics model of oxide skins on molten aluminum Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-05 Joel T. Clemmer, Flint Pierce, Thomas C. O'Connor, Thomas D. Nevins, Elizabeth M.C. Jones, Jeremy B. Lechman, John Tencer
A computational model of aluminum melting is proposed which captures both the thermal fluid-solid phase transition and the mechanical effects of oxidation. The model hybridizes ideas from smoothed particle hydrodynamics and bonded particle models to simulate both hydrodynamic flows and solid elasticity. Oxidation is represented by dynamically adding and deleting spring-like bonds between surface fluid
-
Image restoration based on transformed total variation and deep image prior Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-05 Limei Huo, Wengu Chen, Huanmin Ge
Most supervised learning methods require observation data and ground truth pairs as data sets to train the network. However, it is difficult and time-consuming to obtain a large number of high quality data sets, because ground truth is not available in some practical settings, such as medical imaging, dynamic scenes. Deep image prior (DIP) only uses one degraded image for image recovery tasks, which
-
A bi-variant variational model for diffeomorphic image registration with relaxed Jacobian determinant constraints Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-05 Yanyan Li, Ke Chen, Chong Chen, Jianping Zhang
Diffeomorphic registration is a widely used technique for finding a smooth and invertible transformation between two coordinate systems, which are measured using template and reference images. The point-wise volume-preserving constraint is effective in some cases, but may be too restrictive in others, especially when local deformations are relatively large. This can result in poor matching when enforcing