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Explosive synchronization:From synthetic to real-world networks

Chinese Physics B 2022年第2期31卷 89-108页

作者： Atiyeh Bayani sajad jafari Hamed Azarnoush Department of Biomedical Engineering Amirkabir University of TechnologyNo.350Hafez Ave.Valiasr SquareTehran 159163-4311Iran Health Technology Research Institute Amirkabir University of TechnologyNo.350Hafez Ave.Valiasr SquareTehran 159163-4311Iran

Synchronization is a widespread phenomenon in both synthetic and real-world *** collective behavior of simple and complex systems has been attracting much research during the last *** different routes to synchrony are defined in networks;first-order,characterized as explosive,and second-order,characterized as continuous *** pioneer researches explained that the transition type is a generic feature in the networks,recent studies proposed some frameworks in which different phase and even chaotic oscillators exhibit explosive *** relationship between the structural properties of the network and the dynamical features of the oscillators is mainly proclaimed because some of these frameworks show abrupt *** different theoretical analyses about the appearance of the firstorder transition,studies are limited to the mean-field theory,which cannot be generalized to all *** are different real-world and man-made networks whose properties can be characterized in terms of explosive synchronization,e.g.,the transition from unconsciousness to wakefulness in the brain and spontaneous synchronization of power-grid *** this review article,explosive synchronization is discussed from two main ***,pioneer articles are categorized from the dynamical-structural framework point of ***,articles that considered different oscillators in the explosive synchronization frameworks are *** this article,the main focus is on the explosive synchronization in networks with chaotic and neuronal ***,efforts have been made to consider the recent articles which proposed new frameworks of explosive synchronization.

关键词： synchronization explosive synchronization Kuramoto oscillator chaotic systems neuronal networks complex network

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A novel multi-stable sinusoidal chaotic map with spectacular behaviors

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Communications in Theoretical Physics 2023年第11期75卷 3-14页

作者： Ahmed M Ali Ali Sridevi Sriram Hayder Natiq Atefeh Ahmadi Karthikeyan Rajagopal sajad jafari Department of Electronics Techniques Babylon Technical InstituteAl-Furat Al-Awsat Technical UniversityBabylon51001Iraq Al-Mustaqbal University College Babylon51001Iraq Centre for Computational Biology Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Computer Technology Engineering College of Information TechnologyImam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Biomedical Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran Centre for Nonlinear Systems Chennai Institute of TechnologyChennai600069Tamil NaduIndia Department of Electronics and Communications Engineering and University Centre of Research and Development Chandigarh UniversityMohali140413PunjabIndia Health Technology Research Institute Amirkabir University of Technology(Tehran Polytechnic)TehranIran

Chaotic behavior can be observed in continuous and discrete-time *** behavior can appear in one-dimensional nonlinear maps;however,having at least three state variables in flows is *** to the lower mathematical complexity and computational cost of maps,lots of research has been conducted based on *** paper aims to present a novel one-dimensional trigonometric chaotic map that is multi-stable and can act *** proposed chaotic map is first analyzed using a single sinusoidal function;then,its abilities are expanded to a map with a combination of two sinusoidal *** stability conditions of both maps are investigated,and their different behaviors are validated through time series,state space,and cobweb ***,the influence of parameter variations on the maps’outputs is examined by one-dimensional and two-dimensional bifurcation diagrams and Lyapunov exponent ***,the diversity of outputs with varying initial conditions reveals this map’s *** newly designed chaotic map can be employed in encryption applications.

关键词： chaotic map discrete chaos sinusoidal map multi-stability dynamical analysis

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Collective behavior of cortico-thalamic circuits:Logic gates as the thalamus and a dynamical neuronal network as the cortex

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Chinese Physics B 2022年第2期31卷 687-695页

作者： Alireza Bahramian Sajjad Shaukat Jamal Fatemeh Parastesh Kartikeyan Rajagopal sajad jafari Department of Biomedical Engineering Amirkabir University of Technology(Tehran polytechnic)Iran Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Centre for Nonlinear Systems Chennai Institute of TechnologyChennaiIndia Health Technology Research Institute Amirkabir University of Technology(Tehran polytechnic)Iran

This paper introduces a two-layer network to investigate the effects of cortico-thalamic circuits on the cortex’s collective *** the brain,different parts of the cortex collaborate to process *** of the main parts,which is the path of different cortex contacts,is the thalamus whose circuit is referred to as the"vertical"cortico-thalamic *** subnuclei can participate in the processing of the information that passes through *** has been shown that they play the functional role of logic gates(AND,OR and XOR).To study how these thalamus circuits affect the cortical neuron behavior,a two-layer network is proposed wherein the cortex layer is composed of Hindmarsh–Rose models and the thalamus layer is constructed with logic *** show that considering these logic gates can lead the network towards different synchronization,asynchronization,chimera and solitary *** is revealed that for AND-gate and OR-gate,increasing the number of gates or their outputs can increase and decrease the network’s coherency in excitatory and inhibitory cases,***,considering XOR-gates always results in the chimera state.

关键词： two-layer network synchronization chimera state thalamus and cortex

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Chaotic dynamics of a fractional order glucose-insulin regulatory system

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Frontiers of Information Technology & Electronic Engineering 2020年第7期21卷 1108-1118页

作者： Karthikeyan RAJAGOPAL Atiyeh BAYANI sajad jafari Anitha KARTHIKEYAN Iqtadar HUSSAIN Center for Nonlinear Dynamics Defence UniversityBishoflu 1041Ethiopia Institute of Energy Mekelle UniversityMekelle 231Ethiopia Department of Biomedical Engineering Amirkabir University of TechnologyTehran 159163-4311Iran Nonlinear Systems and Applications Faculty of Electrical and Electronics EngineeringTon Due Thang UniversityHo Chi Minh City 700010Vietnam Department of Mathematics Statistics and PhysicsQatar UniversityDoha 2713Qatar

The fractional order model of a glucose-insulin regulatory system is derived and presented. It has been extensively proved in the literature that fractional order analysis of complex systems can reveal interesting and unexplored features of the system. In our investigations we have revealed that the glucose-insulin regulatory system shows multistability and antimonotonicity in its fractional order form. To show the effectiveness of fractional order analysis, all numerical investigations like stability of the equilibrium points, Lyapunov exponents, and bifurcation plots are derived. Various biological disorders caused by an unregulated glucose-insulin system are studied in detail. This may help better understand the regulatory system.

关键词： Diabetes mellitus Chaos Bifurcation Multistability Antimonotonicity

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A novel memristive neural network with hidden attractors and its circuitry implementation

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Science China(Technological Sciences) 2016年第3期59卷 358-363页

作者： PHAM Viet Thanh jafari sajad VAIDYANATHAN sundarapandian VOLOS Christos WANG Xiong School of Electronics and Telecommunications Hanoi University of Science and Technology Ol Dai Co Viet Hanoi Vietnam Biomedical Engineering Department Amirkabir University of Technology Tehran 15875-4413 Iran Research and Development Centre Vel Tech University Avadi Chennai-600062 Tamil Nadu India Physics Department Aristotle University of Thessaloniki GR-54124 Greece Institute for Advanced Study Shenzhen University Shenzhen 518060 China

Neural networks have been applied in various fields from signal processing, pattern recognition, associative memory to artificial intelligence. Recently, nanoscale memristor has renewed interest in experimental realization of neural network. A neural network with a memristive synaptic weight is studied in this work. Dynamical properties of the proposed neural network are investigated through phase portraits, Poincaré map, and Lyapunov exponents. Interestingly, the memristive neural network can generate hyperchaotic attractors without the presence of equilibrium points. Moreover, circuital implementation of such memristive neural network is presented to show its feasibility.

关键词：神经网络混沌吸引子电路实现 Poincaré映射 Lyapunov指数隐藏联想记忆动力学性质

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A new nonlinear oscillator with infinite number of coexisting hidden and self-excited attractors

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Chinese Physics B 2018年第4期27卷 208-213页

作者：唐妍霞 Abdul Jalil M Khalaf Karthikeyan Rajagopal Viet-Thanh Pham sajad jafari 田野 College of Science Hebei North University Zhangjiakou 075000 China Engineering Technology Research Center of Population Health lnformatization in Hebei Province Zhangjiakou 075000 China Department of Mathematics Faculty of Computer Science and Mathematics University of Kufa Najaf Iraq Department of Electrical and Communication Engineering the PNG University of Technology Lae Centre for Nonlinear Dynamics Defense University Ethiopia Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical & Electronics Engineering Ton Duc Thang University Ho Chi Mirth City Vietnam Biomedical Engineering Department Amirkabir University of Technology Tehran 15875-4413 Iran

In this paper,we introduce a new two-dimensional nonlinear oscillator with an infinite number of coexisting limit *** limit cycles form a layer-by-layer structure which is very *** percent of these limit cycles are self-excited attractors while sixty percent of them are hidden *** this new system to its forced version,we introduce a new chaotic system with an infinite number of coexisting strange *** implement this system through field programmable gate arrays.

关键词： chaotic oscillators multistability hidden attractors

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Tick-borne pathogens in Iran:A meta-analysis

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Asian Pacific Journal of Tropical Medicine 2021年第11期14卷 486-504页

作者： Mehdi Khoobdel Amir sajad jafari Zakkyeh Telmadarraiy Mohammad Mehdi Sedaghat Hasan Bakhshi Health Research Center LifeStyle InstituteBaqiyatallah University of Medical SciencesTehranIran Department of Veterinary Medicine Faculty of Veterinary MedicineUniversity of ZabolZabolIran Department of Medical Entomology and Vector Control School of Public HealthTehran University of Medical SciencesTehranIran Rahyan Novin Danesh(RND)University SariMazandaranIran Vector-borne Diseases Research Center North Khorasan University of Medical SciencesBojnurdIran

Objective:Different studies have been performed on the prevalence of tick-borne pathogens in different areas of Iran;however,as far as our knowledge,there is no regional meta-analysis available for consideration and estimation of tick species infected with different pathogens in ***:In this review,among different databases,a total of 95 publications were included,and the infection of different tick species to different tick-borne pathogens was determined;furthermore,presence of pathogens(with 95%confidence intervals)in tick vectors was calculated separately for each province,using Comprehensive Meta-Analysis version 2(Biostat,USA).Results:Totally,among all 95 studies,5673 out of 33521 investigated ticks were positive according to different detection *** estimated presence of pathogens in tick vectors in Iran was 8.6%(95%CI 7.0%-10.6%,P<0.001).Of all 46 species of ticks in 10 genera in Iran,28 species in 9 genera,including Alveonasus,Argas,Boophilus,Dermacentor,Haemaphysalis,Hyalomma,Ixodes,Ornithodoros,and Rhipicephalus were infected with at least 20 pathogens in 10 genera including Aegyptianella,Anaplasma,Babesia,Borrelia,Brucella,Orthonairovirus[CrimeanCongo hemorrhagic fever virus(CCHFV)],Coxiella,Ehrlichia,Rickettsia and Theileria in 26 provinces of *** presence of pathogens in ticks collected in western Iran was more than other *** anatolicum(20.35%),Rhipicephalus sanguineus(15.00%),and Rhipicephalus bursa(14.08%)were the most prevalent infected ticks for different *** addition,most literatures were related to CCHFV and Theileria/Babesia ***:Public health and veterinary professionals should be aware of diagnosing possible diseases or outbreaks in vertebrates.

关键词： Ticks Tick-borne diseases Vector-borne diseases Iran

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Chimera state in a network of nonlocally coupled impact oscillators

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第3期22卷 235-244页

作者： Jerzy WOJEWODA Karthikeyan RAJAGOPAL Viet-Thanh PHAM Fatemeh PARASTESH Tomasz KAPITANIAK sajad jafari Division of Dynamics Lodz University of TechnologyLodz90-924Poland Nonlinear Systems and Applications Faculty of Electrical and Electronics EngineeringTon Duc Thang UniversityHo Chi Minh CityVietnam Biomedical Engineering Department Amirkabir University of TechnologyTehran15875-4413Iran Health Technology Research Institute Amirkabir University of TechnologyTehran15875-4413Iran

Chimera state is a peculiar spatiotemporal pattern,wherein the coherence and incoherence coexist in the network of coupled identical *** this paper,we study the chimera states in a network of impact oscillators with nonlocal *** investigate the effects of the coupling strength and the coupling range on the network *** results reveal the emergence of the chimera state for significantly small values of coupling strength,and higher coupling strength values lead to unbounded motions in the *** also study the network in the case of excitation *** observe that the coupling helps in the maintenance of an oscillatory motion with a lower amplitude in the failed oscillator.

关键词： Mechanical oscillators Impact oscillator Coupled network Nonlocal coupling Chimera state

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Observation of chimera patterns in a network of symmetric chaotic finance systems

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Communications in Theoretical Physics 2020年第10期72卷 19-28页

作者： Biqun Chen Karthikeyan Rajagopal Fatemeh Parastesh Hamed Azarnoush sajad jafari Iqtadar Hussain School of Electronic Engineering Changzhou College of Information TechnologyChangzhou 213164China Nonlinear Systems and Applications Faculty of Electrical and Electronics EngineeringTon Duc Thang UniversityHo Chi Minh CityVietnam Department of Biomedical Engineering Amirkabir University of TechnologyNo.350Hafez AveValiasr SquareTehran 159163-4311Iran Health Technology Research Institute Amirkabir University of TechnologyNo.350Hafez AveValiasr SquareTehran 159163-4311Iran Department of Mathematics Statistics and PhysicsQatar UniversityDoha 2713Qatar

The economic and financial systems consist of many nonlinear factors that make them behave as the complex *** many chaotic finance systems have been proposed to study the complex dynamics of finance as a noticeable problem in *** fact,the intricate structure between financial institutions can be obtained by using a network of financial ***,in this paper,we consider a ring network of coupled symmetric chaotic finance systems,and investigate its behavior by varying the coupling *** results show that the coupling strength and range have significant effects on the behavior of the coupled systems,and various patterns such as the chimera and multi-chimera states are ***,changing the parameters'values,remarkably influences on the oscillators *** several synchronous clusters are formed,the attractors of the synchronized oscillators are symmetric,but different from the single oscillator attractor.

关键词： nance system symmetric attractors chimera state synchronization transitions nonlocally coupled network

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上位效应对遗传算法可靠性的影响（英文）

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2019年第2期20卷 109-116页

作者： sajad jafari Tomasz KAPITANIAK Karthikeyan RAJAGOPAL Viet-Thanh PHAM Fawaz E.ALSAADI Biomedical Engineering Department Amirkabir University of Technology Division of Dynamics Lodz University of Technology Center for Nonlinear Dynamics Defence University6020 BishoftuEthiopia Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical&Electronics EngineeringTon Duc Thang University Department of Information Technology Faculty of Computing and ITKing Abdulaziz University

目的:探讨遗传算法的局限性和实用性,并分析基于相互作用产生的上位效应对遗传算法可靠性的影响。创新点:1.指出遗传算法缺陷的根源;2.基于测试样本函数定义目标函数,以判断遗传算法的适用性。方法:1.基于非上位效应函数(表1)和上位效... 详细信息

目的:探讨遗传算法的局限性和实用性,并分析基于相互作用产生的上位效应对遗传算法可靠性的影响。创新点:1.指出遗传算法缺陷的根源;2.基于测试样本函数定义目标函数,以判断遗传算法的适用性。方法:1.基于非上位效应函数(表1)和上位效应函数(表2),以及非上位效应函数F4和上位效应函数F6的结构图来验证遗传算法可靠性;2.通过计算样本函数(公式(1))和遗传算法流程(图3)表达遗传算法的工作原理。3.利用克洛弗函数(公式(2))和计算不同结构角下的函数分布(图4),进一步判断匹配度(表3)和计算效率(表4);定义新的目标函数(公式(9))和一组新的变量(公式(10))来实现变量相关性解离。结论:1.对当前遗传算法存在的不足给出了独到见解,并认为正定性的假设并非可以保证遗传算法实际的有效性和优化性。2.定义成本代价函数用以判断遗传算法可靠性,并分别考虑上位性和非上位性效应两种情形。当成本代价函数在非上位性效应下时,遗传算法是有效的;否则,可以把N维函数降级为N个一维函数,从而采用更简单的算法来判断。基于一些通用的基准,进一步设计三类样本函数来证实以上判断,且这些样本函数适合于上位性效应情形和非上位效应情形。3.遗传算法的瓶颈在于主算子和相干匹配性;可以通过破坏某些结构来实现变量关系的解离,从而抑制相干匹配性对遗传算法的影响。希望相关读者在处理实际优化问题时能验证作者关于上位效应的定性结论,并给出更可靠的方法来表征这种效应。

关键词：上位性效应遗传算法相干匹配性叠加性优化成本代价函数

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