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Cluster Synchronization of Impulsive Complex Networks with Stochastic Perturbations and Time-Varying Delays

Yi Zhao, Jianwen Feng, Jingyi Wang
2013 Journal of Applied Mathematics  
This paper investigates the cluster synchronization of impulsive complex networks with stochastic perturbation and time-varying delays. Besides, the nodes in the complex networks are nonidentical.  ...  By utilizing the Lyapunov stability theory, stochastic analysis theory, and linear matrix inequalities (LMI), sufficient conditions are derived to guarantee the cluster synchronization.  ...  In [27] , Wang et al. investigated the exponential synchronization of stochastic perturbed complex networks with time-varying delays via periodically intermittent pinning.  ... 
doi:10.1155/2013/678543 fatcat:b7k5d6huu5bfhfqij6yf4ssqdu

Asymptotic and Finite-time Cluster Synchronization of Neural Networks via Two Different Controllers [article]

Juan Cao, Fengli Ren, Dacheng Zhou
2021 arXiv   pre-print
In this paper, by using pinning impulse controller and hybrid controller respectively, the research difficulties of asymptotic synchronization and finite time cluster synchronization of time-varying delayed  ...  In order to deal with time-varying delay and save control cost, pinning pulse control is introduced to promote the realization of asymptotic cluster synchronization.  ...  By introducing stochastic impulsive analysis technique and pinning selected nodes of stochastic network at impulsive moment, authors in [22] discussed cluster synchronization of delayed stochastic neural  ... 
arXiv:2103.09625v4 fatcat:lbrbqnhbxjfffg2ynjjfh5rujm

Cluster Synchronization of Stochastic Complex Networks with Markovian Switching and Time-Varying Delay via Impulsive Pinning Control

Xuan Zhou, Kui Luo
2014 Discrete Dynamics in Nature and Society  
This paper studies the cluster synchronization of a kind of complex networks by means of impulsive pinning control scheme.  ...  These networks are subject to stochastic noise perturbations and Markovian switching, as well as internal and outer time-varying delays.  ...  Acknowledgments This work was supported by the Basic Research Project Fund (2213K3170015 and 2213K3170021) of Shenzhen Polytechnic, Shenzhen.  ... 
doi:10.1155/2014/835867 fatcat:tfajmn2zczb5jkjgikpkyd2ige

Nonlinear Analysis of Dynamical Complex Networks 2014

Zidong Wang, Bo Shen, Hongli Dong, Jun Hu, Xiao He, Derui Ding
2014 Abstract and Applied Analysis  
This special issue starts with two survey papers on the recent advances of performance analysis with network-enhanced complexities and communication protocols for NCSs.  ...  because of the usage of the communication networks.  ...  Acknowledgments This special issue is a timely reflection of the research progress in the area of nonlinear analysis of dynamical complex networks.  ... 
doi:10.1155/2014/976231 fatcat:4pf2zd4h35gazgo2vyhoawgyka

A survey on complex dynamical networks with impulsive effects

Xiu-ping Han, Yong-shun Zhao, Xiao-di Li
2020 Frontiers of Information Technology & Electronic Engineering  
Five aspects of CDNs with impulsive effects are surveyed, including synchronizing impulses, desynchronizing impulses, adaptive-impulsive synchronization, pinning impulsive synchronization, and CDNs with  ...  We review the research on complex dynamical networks (CDNs) with impulsive effects.  ...  Synchronization of chaotic delayed neural networks with stochastic perturbation using the impulsive control method was considered by Li XD and Song (2014) .  ... 
doi:10.1631/fitee.1900456 fatcat:w5nyvbujknedzobogfigvtdbpy

Table of contents

2021 IEEE Transactions on Neural Networks and Learning Systems  
Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls .........................................................  ...  Zhang Extended Robust Exponential Stability of Fuzzy Switched Memristive Inertial Neural Networks With Time-Varying Delays on Mode-Dependent Destabilizing Impulsive Control Protocol ...................  ... 
doi:10.1109/tnnls.2020.3043901 fatcat:rxu6bx4dh5ezjbcr6yhzutjjgi

Exponential Synchronization of Stochastic Complex Dynamical Networks with Impulsive Perturbations and Markovian Switching

Wuneng Zhou, Anding Dai, Dongbing Tong, Jun Yang
2014 Mathematical Problems in Engineering  
This paper investigates the exponential synchronization problem of stochastic complex dynamical networks with impulsive perturbation and Markovian switching.  ...  networks with impulsive perturbation and Markovian switching, and the upper bound of impulsive gain is evaluated.  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (61075060), the Key Foundation Project of Shanghai (12JC1400400), and the Innovation Program of Shanghai Municipal  ... 
doi:10.1155/2014/927858 fatcat:7o5ykkhgebc5pj6tffun5fcrt4

Synchronization of General Complex Networks with Hybrid Couplings and Unknown Perturbations

Xinsong Yang, Shuang Ai, Tingting Su, Ancheng Chang
2013 Abstract and Applied Analysis  
The issue of synchronization for a class of hybrid coupled complex networks with mixed delays (discrete delays and distributed delays) and unknown nonstochastic external perturbations is studied.  ...  To overcome the bad effects of such perturbations, a simple but all-powerful robust adaptive controller is designed to synchronize the complex networks even without knowing a priori the functions and bounds  ...  In [20] , the robust impulsive synchronization of coupled delayed neural networks with uncertainties is considered; several new criteria are obtained to guarantee the robust synchronization via impulses  ... 
doi:10.1155/2013/625372 fatcat:drtocuwf65bipmbueini6hvo7m

具有随机扰动和Markov切换的中立型耦合神经网络的自适应同步

张志姝,高燕, ZHANG Zhishu, GAO Yan
2020 应用数学和力学  
Cluster synchronization of nonlinearly coupled neural networks with hybrid time•varying delays and stochastic perturbations via pinning control[ J] .  ...  Cluster synchronization of stochastic neural net• works with delay via pinning impulsive control [ J] . Neurocomputing, 2019, 366 ( 13) : 109• 117. [ 24] WANG Y L, CAO J D, HU J Q.  ... 
doi:10.21656/1000-0887.410079 fatcat:lhu6zwoi2ffchabh6juabwjyzq

2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31

2020 IEEE Transactions on Neural Networks and Learning Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TNNLS June 2020 2092-2103 Projective Synchronization of Delayed Neural Networks With Mismatched Parameters and Impulsive Effects.  ...  ., +, TNNLS Sept. 2020 3305-3318 Projective Synchronization of Delayed Neural Networks With Mismatched Parameters and Impulsive Effects.  ... 
doi:10.1109/tnnls.2020.3045307 fatcat:34qoykdtarewhdscxqj5jvovqy

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H  ...  ., +, TCYB June 2020 2380-2388 Synchronization of Memristive Complex-Valued Neural Networks With Time Delays via Pinning Control Method.  ...  ., +, TCYB Oct. 2020 4307-4317 Synchronization of Memristive Complex-Valued Neural Networks With Time Delays via Pinning Control Method.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

2019 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 49

2019 IEEE Transactions on Systems, Man & Cybernetics. Systems  
., +, TSMC Feb. 2019 433-443 Delay-Dependent Impulsive Distributed Synchronization of Stochastic Complex Dynamical Networks With Time-Varying Delays.  ...  ., +, TSMC Sept. 2019 1759-1768 Delay-Dependent Impulsive Distributed Synchronization of Stochastic Complex Dynamical Networks With Time-Varying Delays.  ... 
doi:10.1109/tsmc.2019.2956665 fatcat:xhplbanlyne7nl7gp2pbrd62oi

Cluster synchronization of fractional-order nonlinearly-coupling community networks with time-varying disturbances and multiple delays

Hongguang Fan, Yi Zhao
2021 IEEE Access  
For example, Pan et al. investigated the cluster synchronization of stochastic dynamical systems with time delay, and the estimation of cluster decay was obtained based on an impulsive control technique  ...  Cluster synchronization of fractional-order complex networks via adaptive pining control can be found in [28] , where the time-varying disturbances and delays are ignored.  ...  The cluster synchronization of fractional-order positive weighted network (1) can be achieved under the fractionalorder adaptive pinning controller (4). Remark 8. According to Lemma 4, we have t0  ... 
doi:10.1109/access.2021.3074016 fatcat:vd4iectkordrfjuywkfzyy6znm

Table of contents

2020 IEEE Transactions on Cybernetics  
Lewis 4293 Stabilization of Nonautonomous Recurrent Neural Networks With Bounded and Unbounded Delays on Time Scales . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Wu 4268 Exponential State Estimation for Memristor-Based Discrete-Time BAM Neural Networks With Additive Delay Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcyb.2020.3024367 fatcat:5vqi5c62g5dj7bybt2tm7xmrle

Fixed-Time and Finite-Time Synchronization for a Class of Output-Coupling Complex Networks via Continuous Control

Zhiwei Li
2019 International Journal of Communications, Network and System Sciences  
stochastic memristor-based neural networks with time-varying probabilistic delay coupling and impulsive delay [13].  ...  The authors of [12] studied the exponential synchronization problems of complex-valued complex networks with time-varying delays and stochastic perturbations via time-delayed impulsive control and coupled  ...  In [25] , the author studied the problem of synchronization of coupled connected neural networks with delays and the results showed that the theoretical value is usually larger than the value needed in  ... 
doi:10.4236/ijcns.2019.1210011 fatcat:mhqzy23ymbd5hc7czhnxds4puu
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