Research article

Cluster collective behaviors via feedback pinning control induced by epidemic spread in a patchy population with dispersal

  • Received: 24 March 2020 Accepted: 30 June 2020 Published: 08 July 2020
  • In this paper we investigate cluster collective behaviors aroused by epidemic spread in a patchy population via feedback pinning control strategy. We construct a class of complex network system combined with states feedback behavior synchronization network systems and epidemic spread constant population systems with patch dispersal. In which the dispersal effect among patches are included in the susceptible systems, as well as considering the contact willing function for each patch, determined by the disease's information and individuals' behaviors, as the added cofactor before bilinear incidence. On the one hand, we derive conditions about the global asymptotical stability of disease-free equilibrium, and the existence of positive equilibrium. On the other hand, we design states feedback controllers related with the patch disease information to achieve cluster behaviors synchronization. By using the Lyapunov stability analysis method, the global asymptotical stability of the positive equilibrium is discussed, and meanwhile, the criteria for cluster collective behaviors are obtained. Numerical simulations are performed to support our theoretical results.

    Citation: Pan Yang, Jianwen Feng, Xinchu Fu. Cluster collective behaviors via feedback pinning control induced by epidemic spread in a patchy population with dispersal[J]. Mathematical Biosciences and Engineering, 2020, 17(5): 4718-4746. doi: 10.3934/mbe.2020259

    Related Papers:

  • In this paper we investigate cluster collective behaviors aroused by epidemic spread in a patchy population via feedback pinning control strategy. We construct a class of complex network system combined with states feedback behavior synchronization network systems and epidemic spread constant population systems with patch dispersal. In which the dispersal effect among patches are included in the susceptible systems, as well as considering the contact willing function for each patch, determined by the disease's information and individuals' behaviors, as the added cofactor before bilinear incidence. On the one hand, we derive conditions about the global asymptotical stability of disease-free equilibrium, and the existence of positive equilibrium. On the other hand, we design states feedback controllers related with the patch disease information to achieve cluster behaviors synchronization. By using the Lyapunov stability analysis method, the global asymptotical stability of the positive equilibrium is discussed, and meanwhile, the criteria for cluster collective behaviors are obtained. Numerical simulations are performed to support our theoretical results.


    加载中


    [1] H. Chen, P. Shi, C. C. Lim, Pinning impulsive synchronization for stochastic reaction-diffusion dynamical networks with delay, Neural Networks, 106 (2018), 281-293.
    [2] W. H. Chen, Y. L. Liu, and W. X. Zheng, Synchronization analysis of two-time-scale nonlinear complex networks with time-scale-dependent coupling, IEEE Trans. Cybern., 49 (2019), 3255-3267.
    [3] J. Q. Lu, J. D. Cao, Adaptive synchronization of uncertain dynamical networks with delayed coupling, Nonlinear Dyn., 53 (2008), 107-115.
    [4] E. Panteley, A. Loria, Synchronization and dynamic consensus of heterogeneous networked systems, IEEE Trans. Autom. Contr., 62 (2017), 3758-3773.
    [5] H. A. Tang, J. L. Wang, L. D. Wang, X. F. Hu, Y. Zhou, S. K. Duan, Impulsive control for passivity and exponential synchronization of coupled neural networks with multiple weights, J. Franklin Inst., 356 (2019), 5434-5463.
    [6] C. Castellano and R. Pastor-Satorras, Thresholds for epidemic spreading in networks, Phys. Rev. Lett., 105 (2010), 218701.
    [7] H. Guo, M. Y. Li, Z. Shuai, Global dynamics of a general class of multistage models for infectious diseases, SIAM J. Appl. Math., 72 (2012), 261-279.
    [8] M. Kitsak, L. K. Gallos, S. Havlin, F. Liljeros, L. Muchnik, H. Eugene Stanley, et al., Identification of influential spreaders in complex networks, Nat. Phys., 6 (2010), 888-893.
    [9] L. Lü, D. Chen, T. Zhou, The small world yields the most effective information spreading, New J. Phys., 13 (2011), 123005.
    [10] H. T. Song, S. Q. Liu, W. H. Jiang, Global dynamics of amultistage sir model with distributed delays and nonlinear incidence rate, Math. Methods Appl. Sci., 40 (2017), 2153-2164.
    [11] C. L. Apicella, F. W. Marlowe, J. H. Fowler, N. A. Christakis, Social networks and cooperation in hunter-gatherers, Nature, 481 (2012), 497-501.
    [12] A. L. Barábasi, R. Albert, Emerhence of sclaing in random networks, Science, 286 (1999), 509-512.
    [13] A. C. Linked, How everything is connected to everything else and what it means for business, science, and everyday life, Math. Comput. Edu., 43 (2009), 271-272.
    [14] P. Dodds, R. Muhamad, D. Watts, An experimental study of search in global social networks, Science, 301 (2003), 827-829.
    [15] H. Dong, N. Hou, Z. Wang, W. Ren, Variance-constrained state estimation for complex networks with randomly varying topologies, IEEE Trans. Neural Networks Learn. Syst., 29 (2018), 2757-2768.
    [16] M. Granovetter, The strength of weak ties, Am. J. Sociol., 78 (1973), 1360-1380.
    [17] S. Milgram, The small world problem, Psychol. Today, 2 (1967), 60-67.
    [18] L. Stella, D. Bauso, Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals, Automatica, 100 (2019), 61-66.
    [19] D. J. Watts, S. H. Strogatz, Collective dynamics of small-world networks, Nature, 393 (1998), 440-442.
    [20] W. L. Zhang, X. S. Yang, C. D. Li, Fixed-time stochastic synchronization of complex networks via continuous control, IEEE T. Cybern., 49 (2019), 3099-3104.
    [21] S. P. Ansari, S. K. Agrawal, S. Das, Stability analysis of fractiona-lorder generalized chaotic susceptible-infected-recovered epidemic model and its synchronization using active control method, Pramana, 84 (2015), 23-32.
    [22] E. Arceo-May, C. F. Moukarzel, Synchronization and extinction in a high-infectivity spatial sirs with long-range links, J. Stat. Mech. Theory Exp., 2019 (2019), 013203.
    [23] Z. L. Tang, S. M. Li, Epidemic model based security analysis of firefly clock synchronization in wireless sensor networks, Int. J. Security Appl., 9 (2015), 19-34.
    [24] D. G. Xu, X. Y. Xu, C. H. Yang, W. H. Gui, Spreading dynamics and synchronization behavior of periodic diseases on complex networks, Phys. A, 466 (2017), 544-551.
    [25] G. Yan, Z. Fu, J. Ren, W. X. Wang, Collective synchronization induced by epidemic dynamics on complex networks with communities, Phys. Rev. E, 75 (2007), 016108.
    [26] K. Z. Li, X. C. Fu, M. Small, Z. J. Ma, Adaptive mechanism between dynamical synchronization and epidemic behavior on complex networks, Chaos, 21 (2011), 033111.
    [27] K. Z. Li, Z. J. Ma, Z. Jia, M. Small, X. C. Fu, Interplay between collective behavior and spreading dynamics on complex networks, Chaos, 22 (2012), 043113.
    [28] M. F. Sun, Y. J. Lou, J. Q. Duan, and X. C. Fu, Behavioral synchronization induced by epidemic spread in complex networks, Chaos, 27 (2017), 063101.
    [29] M. F. Sun, M. Small, S. S. Lee, X. C. Fu, An exploration and simulation of epidemic spread and its control inmultiplex networks, SIAM J. Appl. Math., 78 (2018), 1602-1631.
    [30] S. M. Cai, F. L. Zhou, Q. B. He,Fixed-time cluster lag synchronization in directed heterogeneous community networks, Phys. A, 525 (2019), 128-142.
    [31] F. B. Li, Z. J. Ma, Q. C. Duan, Clustering component synchronization in a class of unconnected networks via pinning control, Phys. A, 525 (2019), 394-401.
    [32] Z. P. Xu, K. Z. Li, M. F. Sun, and X. C. Fu, Interaction between epidemic spread and collective behavior in scale-free networks with community structure, J. Theor. Biol., 462 (2019), 122-133.
    [33] J. Li, X. Zou, Dynamics of an epidemic model with non-local infections for diseases with latency over a patchy environment, J. Math. Biol., 60 (2010), 645-686.
    [34] M. Y. Li, Z. S. Shuai, Global stablity of an epidemic model in a patchy environment, Can. Appl. Math. Q., 17 (2009), 175-187.
    [35] P. Yang, Z. P. Xu, J. W. Feng, and X. C. Fu, Feedback pinning control of collective behaviors aroused by epidemic spread on complex networks, Chaos, 29 (2019), 033122.
    [36] X. S. Yang, J. D. Cao, Adaptive pinning synchronization of complex networks with stochastic perturbations, Discrete Dyn. Nat. Soc., 2010 (2010), 416182.
    [37] J. Y. Wang, J. W. Feng, C. Xu, Y. Zhao, and J. Q. Feng, Pinning synchronization of nonlinearly coupled complex networks with time-varying delays using m-matrix strategies, Neurocomputing, 177 (2016), 89-97.
    [38] A. Berman, R. J. Plemmom, Nonnegative matrices in the mathematical sciences, Academic Press, New York, 1979.
    [39] M. Y. Li, Z. S. Shuai, Global-stability problem for coupled systems of differential equations on networks, J. Differ. Equation, 248 (2010), 1-20.
    [40] D. M. Li, J. A. Lu, X. Q. Wu, G. R. Chen, Estimating the ultimate bound and positively invariant set for the lorenz system and a unified chaotic system, J. Math. Anal. Appl., 323 (2006), 844-853.
    [41] J. Y. Wang, J. W. Feng, C. Xu, Y. Zhao, Cluster synchronization of nonlinearly-coupled complex networks with nonidentical nodes and asymmetrical coupling matrix, Nonlinear Dyn., 67 (2012), 1635-1646.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3718) PDF downloads(169) Cited by(0)

Article outline

Figures and Tables

Figures(6)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog