Outer synchronization and parameter identification approach to the resilient recovery of supply network with uncertainty

Physica A: Statistical Mechanics and its Applications

Volumn 482, Issue , 2017, Pages 407-421

  Geng, Liang ^a,b   Xiao, Renbin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUBEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Impulsive pinning control; Outer synchronization; Parameter identification; Resilient recovery; Supply network

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); NUMERICAL METHODS; PARAMETER ESTIMATION; RECOVERY; SYNCHRONIZATION; UNCERTAINTY ANALYSIS;

ADAPTIVE CAPACITY; LYAPUNOV STABILITY THEORY; OUTER SYNCHRONIZATIONS; PINNING CONTROL; PINNING CONTROLLERS; STRUCTURAL VARIATIONS; SUPPLY NETWORKS; UNCERTAIN ENVIRONMENTS;

COMPUTER SYSTEM RECOVERY;

EID: 85018971204     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2017.04.025     Document Type: Article

References (45)

1. [1] Fiksel, J., Polyviou, M., Croxton, K.L., Pettit, T.J., From risk to resilience: learning to deal with disruption. MIT Sloan Manage. Rev., 56(2), 2015, 79.
2. [2] Kamalahmadi, M., Parast, M.M., A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. Int. J. Prod. Econ. 171 (2016), 116–133.
3. [3] Dubromelle, Y., Ounnar, F., Pujo, P., Flow synchronization in supply network, using holonic, isoarchic and multicriteria control. IFAC 14 (2012), 572–577.
4. [4] Zhou, L., Wang, C., He, H., Lin, Y., Time-controllable combinatorial inner synchronization and outer synchronization of anti-star networks and its application in secure communication. Commun. Nonlinear. Sci. 22:1–3 (2015), 623–640.
5. [5] Rice, J.B., Caniato, F., Building a secure and resilient supply network. Supply Chain Manage. Rev. 7:5 (2003), 22–30.
6. [6] Hohenstein, N.O., Feisel, E., Hartmann, E., Giunipero, L., Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. Int. J. Phys. Distrib. Logist. Manage. 45:1/2 (2015), 90–117.
7. [7] Majdandzic, A., Podobnik, B., Buldyrev, S.V., Kenett, D.Y., Havlin, S., Stanley, H.E., Spontaneous recovery in dynamical networks. Nat. Phys. 10:1 (2014), 34–38.
8. [8] Fawcett, S.E., Waller, M.A., Making sense out of chaos: Why theory is relevant to supply chain research. J. Bus. Logist. 32:1 (2011), 1–5.
9. [9] Anne, K.R., Chedjou, J.C., Kyamakya, K., Bifurcation analysis and synchronisation issues in a three-echelon supply chain. Int. J. Logist.: Res. Appl. 12:5 (2009), 347–362.
10. [10] L. Zhang, Y.J. Li, Y.Q. Xu, Chaos synchronization of bullwhip effect in a supply chain, in: 13th International Conference on Management Science and Engineering, Lille, France, 2006, pp. 557–560.
11. [11] Tang, H., Chen, L., Lu, J.A., Chi, K.T., Adaptive synchronization between two complex networks with nonidentical topological structures. Physica A 387:22 (2008), 5623–5630.
12. [12] Wu, X., Zheng, W.X., Zhou, J., Generalized outer synchronization between complex dynamical networks. Chaos 19:1 (2009), 193–204.
13. [13] Ling, L., Liu, S., Li, G., Zhao, G., Gu, J., Tian, J., et al. Determination of configuration matrix element and outer synchronization among networks with different topologies. Physica A 461 (2016), 833–839.
14. [14] Arellano-Delgado, A., Cruz-Hernández, C., López-Gutiérrez, R.M., Posadas-Castillo, C., Outer synchronization of nearest-neighbor and small-world chaotic networks. IFAC 48:18 (2015), 227–232.
15. [15] Zhou, G., Li, C., Li, T., Yang, Y., Wang, C., He, F., Sun, J., Outer synchronization investigation between WS and NW small-world networks with different node numbers. Physica A 457 (2016), 506–513.
16. [16] Wang, G., Cao, J., Lu, J., Outer synchronization between two nonidentical networks with circumstance noise. Physica A 389:7 (2010), 1480–1488.
17. [17] Sun, Y., Li, W., Ruan, J., Generalized outer synchronization between complex dynamical networks with time delay and noise perturbation. Commun. Nonlinear Sci. 18:4 (2013), 989–998.
18. [18] Ma, X.H., Wang, J.A., Pinning outer synchronization between two delayed complex networks with nonlinear coupling via adaptive periodically intermittent control. Neurocomputing 199 (2016), 197–203.
19. [19] Sun, W., Chen, Z., Lü, J., Chen, S., Outer synchronization of complex networks with delay via impulse. Nonlinear Dynam. 69:69 (2012), 1751–1764.
20. [20] Zhang, Q., Luo, J., Wan, L., Parameter identification and synchronization of uncertain general complex networks via adaptive-impulsive control. Nonlinear Dynam. 71:1–2 (2014), 353–359.
21. [21] Li, C., Ling, L., Sun, Y., Wang, Y., Wang, W., Sun, A., Parameter identification and synchronization for uncertain network group with different structures. Physica A 457 (2016), 624–631.
22. [22] Li, H.L., Jiang, Y.L., Wang, Z., Zhang, L., Teng, Z., Parameter identification and adaptive–impulsive synchronization of uncertain complex networks with nonidentical topological structures. Optik 126:24 (2015), 5771–5776.
23. [23] Wu, Z., Fu, X., Outer synchronization between drive-response networks with nonidentical nodes and unknown parameters. Nonlinear Dynam. 69:1–2 (2012), 685–692.
24. [24] Sheng, S., Feng, J., Tang, Z., Zhao, Y., Mixed outer synchronization of two coupled complex networks with time-varying delay coupling and non-delay coupling. Nonlinear Dynam. 80:1–2 (2015), 803–815.
25. [25] Lou, K., Cui, B., Zhang, X., Adaptive synchronization of two complex networks with delayed and non-delayed coupling. Arabian J. Math. 1:2 (2012), 219–226.
26. [26] Shi, L., Yang, X., Li, Y., Feng, Z., Finite-time synchronization of nonidentical chaotic systems with multiple time-varying delays and bounded perturbations. Nonlinear Dynam. 83:1–2 (2016), 75–87.
27. [27] Jing, T., Chen, F., Li, Q., Finite-time mixed outer synchronization of complex networks with time-varying delay and unknown parameters. Appl. Math. Model. 39:23–24 (2015), 7734–7743.
28. [28] Liang, S., Wu, R., Chen, L., Adaptive pinning synchronization in fractional-order uncertain complex dynamical networks with delay. Physica A 444:1–2 (2015), 49–62.
29. [29] Feng, J., Yang, P., Zhao, Y., Cluster synchronization for nonlinearly time-varying delayed coupling complex networks with stochastic perturbation via periodically intermittent pinning control. Appl. Math. Comput. 291 (2016), 52–68.
30. [30] Wu, Z., Liu, D., Ye, Q., Pinning impulsive synchronization of complex-variable dynamical network. Commun. Nonlinear Sci. 20:1 (2015), 273–280.
31. [31] Liu, X., Zhang, K., Synchronization of linear dynamical networks on time scales: Pinning control via delayed impulses. Automatica 72 (2016), 147–152.
32. [32] Wu, Z., Chen, G., Fu, X., Outer synchronization of drive-response dynamical networks via adaptive impulsive pinning control. J. Franklin Inst. 352:10 (2015), 4297–4308.
33. [33] Lu, J., Ding, C., Lou, J., Cao, J., Outer synchronization of partially coupled dynamical networks via pinning impulsive controllers. J. Franklin Inst. 352:11 (2015), 5024–5041.
34. [34] Wen, G., Hu, G., Hu, J., Shi, X., Chen, G., Frequency regulation of source-grid-load systems: A compound control strategy. IEEE Trans. Ind. Inf. 12:1 (2016), 69–78.
35. [35] Ivanov, D., Sokolov, B., Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis, and adaptation of performance under uncertainty. European J. Oper. Res. 224 (2013), 313–323.
36. [36] Zhang, J., Wu, Z., Hong, L., Xu, X., Connectivity recovery of multi-agent systems based on connecting neighbor set. Physica A 390:23 (2011), 4596–4601.
37. [37] Zhang, J., Xu, X., Hong, L., Yan, Y., Consensus recovery of multi-agent systems subjected to failures. Int. J. Control 85:3 (2012), 280–286.
38. [38] Göksu, A., Kocamaz, U.E., Uyaroğlu, Y., Synchronization and control of chaos in supply chain management. Comput. Ind. Eng. 86 (2015), 107–115.
39. [39] Kocamaz, U.E., Taşkın, H., Uyaroğlu, Y., Göksu, A., Control and synchronization of chaotic supply chains using intelligent approaches. Comput. Ind. Eng., 2016.
40. [40] Tukamuhabwa, B.R., Stevenson, M., Busby, J., Zorzini, M., Supply chain resilience: definition, review and theoretical foundations for further study. Int. J. Prod. Res. 53:18 (2015), 5592–5623.
41. [41] Kim, Y., Chen, Y.S., Linderman, K., Supply network disruption and resilience: A network structural perspective. J. Oper. Manage. 33 (2015), 43–59.
42. [42] Wang, Y., Xiao, R., An ant colony based resilience approach to cascading failures in cluster supply network. Physica A 462 (2016), 150–166.
43. [43] Cardoso, S.R., Barbosa-Póvoa, A.P., Relvas, S., Novais, A.Q., Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty. Omega-Int. J. Manage. 56 (2015), 53–73.
44. [44] Xiao, R., Zhang, Y., Huang, Z., Emergent computation of complex systems: a comprehensive review. Int. J. Bio-Inspir Com. 7:2 (2015), 75–97.
45. [45] Zeng, Y., Xiao, R., Modelling of cluster supply network with cascading failure spread and its vulnerability analysis. Int. J. Prod. Res. 52:23 (2014), 6938–6953.