Abstract
In this paper, a unified control strategy is proposed to explore the issues of finite-time (FTT) synchronization and fixed-time (FXT) one for multi-weighted dynamical networks (MWDNs) simultaneously. A new unified finite-/fixed-time (FTT/FXT) stability result is firstly derived for nonlinear dynamical systems, wherein the settling time is more precisely estimated. Then, by designing a novel feedback controller, unified sufficient conditions are established for FTT/FXT synchronization of the MWDNs under study. It is indicated that the conversion between FTT synchronization and FXT one can be realized through simply adjusting one control parameter, exhibiting the flexibility of the control scheme in real-world applications. Moreover, the designed unified control protocol does not contain signum function, which can avoid the occurrence of chattering phenomena during the synchronization process. In particular, a detailed analysis about the relationships between the settling time and the main control parameters is given, which facilitates the selection of control parameters in practice. Lastly, numerical simulations are presented to validate the correctness of the theoretical results.









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References
Chen G, Wang X, Li X (2012) Introduction to complex networks: models structure and dynamics. High Education Press, Beijing
Cimini G, Squartini T, Saracco F, Garlaschelli D, Gabrielli A, Caldarelli G (2019) The statistical physics of real-world networks. Nat Rev Phys 1:58–71
Boccaletti S, Pisarchik AN, Del Genio ID, Amann A (2018) Synchronization: from coupled systems to complex networks. Cambridge University Press, Cambridge
Rubenstein M, Cornejo A, Nagpal R (2014) Programmable self-assembly in a thousand-robot swarm. Science 345:795–799
Cai S, He Q, Hao J, Liu Z (2010) Exponential synchronization of complex networks with nonidentical time-delayed dynamical nodes. Phys Lett A 374:2539–2550
Zhou P, Shi J, Cai S (2020) Pinning synchronization of directed networks with delayed complex-valued dynamical nodes and mixed coupling via intermittent control. J Frankl Inst 357:12840–12869
Shen Y, Shi J, Cai S (2021) Exponential synchronization of directed bipartite networks with node delays and hybrid coupling via impulsive pinning control. Neurocomputing 453:209–222
Sun M, Lyu D, Jia Q (2022) Event-triggered leader-following synchronization of delayed dynamical networks with intermittent coupling. Neural Comput Appl 34:6163–6170
Cai S, Zhou P, Liu Z (2014) Pinning synchronization of hybrid-coupled directed delayed dynamical network via intermittent control. Chaos Interdiscip J Nonlin Sci 24(3):033102
Cai S, Zhou P, Liu Z (2015) Synchronization analysis of hybrid-coupled delayed dynamical networks with impulsive effects: a unified synchronization criterion. J Frankl Inst 352:2065–2089
Zhou P, Cai S, Shen J, Liu Z (2018) Adaptive exponential cluster synchronization in colored community networks via aperiodically intermittent pinning control. Nonlin Dyn 92:905–921
Jiang S, Lu X, Xie C, Cai S (2017) Adaptive finite-time control for overlapping cluster synchronization in coupled complex networks. Neurocomputing 266:188–195
Jia Q, Han Z, Tang WKS (2019) Synchronization of multi-agent systems with time-varying control and delayed communications. IEEE Trans Circ Syst I Regul Pap 66(11):4429–4438
Mwanandiye ES, Wu B, Jia Q (2020) Synchronization of delayed dynamical networks with multi-links via intermittent pinning control. Neural Comput Appl 32:11277–11284
Cai S, Hou M (2021) Quasi-synchronization of fractional-order heterogeneous dynamical networks via aperiodic intermittent pinning control. Chaos Solitons Fract 146:110901
Jia Q, Bram AK, Han Z (2021) Synchronization of drive-response networks with event-based pinning control. Neural Comput Appl 33:8649–8658
Jiang B, Hu Q, Friswell MI (2016) Fixed-time attitude control for rigid spacecraft with actuator saturation and faults. IEEE Trans Control Syst Technol 24(5):1892–1898
Ni J, Liu L, Hu X, Li S (2017) Fast fixed-time nonsingular terminal sliding mode control and its application to chaos suppression in power system. IEEE Trans Circ Syst II Exp Briefs 64(2):151–155
Haimo VT (1986) Finite time controllers. SIAM J Control Optim 24(4):760–770
Polyakov A (2012) Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans Autom Control 57(8):2106–2110
Polyakov A, Efimov D, Perruquetti W (2015) Finite-time and fixed-time stabilization: implicit Lyapunov function approach. Automatica 51:332–340
Lu W, Liu X, Chen T (2016) A note on finite-time and fixed-time stability. Neural Netw 81:11–15
Liu X, Chen T (2018) Finite-time and fixed-time cluster synchronization with or without pinning control. IEEE Trans Cybern 48(1):240–252
Cai S, Zhou F, He Q (2019) Fixed-time cluster lag synchronization in directed heterogeneous community networks. Physica A 525:128–142
Li J, Jiang H, Hu C, Yu Z (2018) Multiple types of synchronization analysis for discontinuous Cohen-Grossberg neural networks with time-varying delays. Neural Netw 99:101–113
Ji G, Hu C, Yu J, Jiang H (2018) Finite-time and fixed-time synchronization of discontinuous complex networks: a unified control framework design. J Frankl Inst 355:4665–4685
Liu X, Ho DWC, Song Q, Xu W (2019) Finite/fixed-time pinning synchronization of complex networks with stochastic disturbances. IEEE Trans Cybern 49(6):2398–2403
Xu Y, Wu X, Mao B, Xie C (2021) A unified finite-/fixed-time synchronization approach to multi-layer networks. IEEE Trans Circ Syst II Exp Briefs 1(68):311–315
Duan L, Shi M, Huang C, Fang X (2021) Synchronization in finite-/fixed-time of delayed diffusive complex-valued neural networks with discontinuous activations. Chaos,Solitons Fract 142:110386
Xiao J, Zeng Z, Wen S, Wu A, Wang L (2021) A unified framework design for finite-time and fixed-time synchronization of discontinuous neural networks. IEEE Trans Cybern 51(6):3004–3016
Katchinskiy N, Goez HR, Dutta I, Godbout R, Elezzabi AY (2016) Novel method for neuronal nanosurgical connection. Sci Rep 6:20529
An XL, Zhang L, Li YZ, Zhang JG (2014) Synchronization analysis of complex networks with multi-weights and its application in public traffic network. Physica A 412:149–156
Qiu SH, Huang YL, Ren SY (2018) Finite-time synchronization of multi-weighted complex dynamical networks with and without coupling delay. Neurocomputing 275:1250–1260
Jin J, Lu HX, Wang SJ (2009) Research on power management using double-weight neural network. Microcomp Infor 25:197–199
Zou H, Chu W, Xu J, Zhang J, Wang Z (2012) Application of two-weight neural networks in image segmentation. Comp Eng Appl 48:163–166
Qiang YJ, Hua L, Chen L, Gu JP, Shen Y (2015) Research on the intelligent recognition of falling of aged people based on multi-weights neural network. Sci Technol Eng 15:119–124
Xiao F, Gan Q, Huang X (2020) Research on fixed-time synchronization of delayed complex dynamical networks with multi-weights. J Sys Sci & Math Scis 40(1):15–28
Xu Y, Li Y, Li W (2020) Adaptive finite-time synchronization control for fractional-order complex-valued dynamical networks with multiple weights. Commun Nonlin Sci Numer Simulat 85:105239
Wang JL, Qin Z, Wu HN, Huang T (2020) Finite-time synchronization and \({\cal{H} _\infty }\) synchronization of multiweighted complex networks with adaptive state couplings. IEEE Trans Cybern 50(2):600–612
Xu Y, Wu X, Mao B, Lü J, Xie C (2021) Finite-time intra-layer and inter-layer quasi-synchronization of two-layer multi-weighted networks. IEEE Trans. Circ Syst. I: Regular Papers 4(68):1589–1598
Yang X, Lu J (2016) Finite-time synchronization of coupled networks with markovian topology and impulsive effects. IEEE Trans Autom Contr 61(8):2256–2261
Yang X, Lam J, Ho DWC, Feng Z (2017) Fixed-time synchronization of complex networks with impulsive effects via nonchattering control. IEEE Trans Autom Contr 62(11):5511–5521
Zhang W, Yang X, Li C (2019) Fixed-time stochastic synchronization of complex networks via continuous control. IEEE Trans Cybern 49(8):3099–3104
Xu Y, Wu X, Li N, Liu L, Xie C, Li C (2020) Fixed-time synchronization of complex networks with a simpler nonchattering controller. IEEE Trans Circ Syst II Exp Briefs 67(4):700–704
Jiang S, Qi Y, Cai S, Lu X (2021) Light fixed-time control for cluster synchronization of complex networks. Neurocomputing 424:63–70
Hu C, Jiang H (2022) Special functions-based fixed-time estimation and stabilization for dynamic systems. IEEE Trans Syst Man Cybern Syst 52(5):3251–3262
Hu C, Yu J, Chen Z, Jiang H, Huang T (2017) Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks. Neural Netw 89:74–83
Chen C, Li L, Peng H, Yang Y, Mi L, Zhao H (2020) A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks. Neural Netw 123:412–419
Abdurahman A, Jiang H, Hu C (2021) Improved fixed-time stability results and application to synchronization of discontinuous neural networks with state-dependent switching. Int J Robust Nonlin Contr 31:5725–5744
Hu C, He H, Jiang H (2021) Fixed/preassigned-time synchronization of complex networks via improving fixed-time stability. IEEE Trans Cybern 51(6):2882–2892
Zhang W, Li C, Li H, Yang X (2020) Cluster stochastic synchronization of complex dynamical networks via fixed-time control scheme. Neural Netw 124:12–19
Peng H, Wei N, Li L, Xie W, Yang Y (2010) Models and synchronization of time-delayed complex dynamical networks with multi-links based on adaptive control. Phys Lett A 374:2335–2339
Zheng M, Li L, Peng H, Xiao J, Yang Y, Zhang Y, Zhao H (2019) General decay synchronization of complex multi-links time-varying dynamic network. Commun Nonlin Sci Numer Simulat 67:108–23
Xu Y, Gao S, Li W (2021) Exponential stability of fractional-order complex multi-links networks with aperiodically intermittent control. IEEE Trans Neural Netw Learn Syst 32:4063–4074
Danca MF (2004) Controlling chaos in discontinuous dynamical systems. Chaos, solitons Fract 22:605–612
Lei X, Cai S, Jiang S, Liu Z (2017) Adaptive outer synchronization between two complex delayed dynamical networks via aperiodically intermittent pinning control. Neurocomputing 222:26–35
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This work was supported by National Science Foundation of China (Grant Nos. 12102147 and 62173163), and China Postdoctoral Science Foundation (Grant No. 2020M681494)
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Shi, J., Zhou, P., Cai, S. et al. On finite-/fixed-time synchronization of multi-weighted dynamical networks: a new unified control approach. Neural Comput & Applic 35, 5769–5790 (2023). https://doi.org/10.1007/s00521-022-07979-8
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DOI: https://doi.org/10.1007/s00521-022-07979-8