[1] Pagani G, Aiello M. The power grid as a complex network: A survey. Physica A, 2013, ${\bf 392}$: 2688-2700
[2] O'malley A, Marsden P. The analysis of social networks. Health Serv Outcomes Res Methodol, 2008, ${\bf 8}$: 222-269
[3] Lin J, Ban Y. Complex network topology of transportation systems. Transp Rev, 2013, ${\bf 33}$: 658-685
[4] Chen Z, Wu J, Xia Y, et al. Robustness of interdependent power grids and communication networks: A complex network perspective. IEEE Trans Circuits Syst II, 2017, ${\bf 65}$: 115-119
[5] Jiang S, Zhou J, Small M, et al. Searching for key cycles in a complex network. Phys Rev Lett, 2023, ${\bf 130}$: 187402
[6] Zheng Z, Zhang Q. Synchronization in directed nonlinear complex networks under intermittent stochastic control. Commun Nonlinear Sci Numer Simulat, 2024, ${\bf 132}$: 107894
[7] Anand K, Yogambigai J, Harish Babu G, et al. Synchronization of singular Markovian jumping neutral complex dynamical networks with time-varying delays via pinning control. Acta Math Sci, 2020, ${\bf 40B}$(3): 863-886
[8] Zhou J, Zhang Y, Lu J, et al. Introducing a new edge centrality measure: the connectivity rank index. IEEE Trans Syst Man Cybern Syst, 2024, ${\bf 54}$: 2757-2764
[9] He L, Zhu L, Zhang Z. Turing instability induced by complex networks in a reaction-diffusion information propagation model. Inf Sci, 2021, ${\bf 578}$: 762-794
[10] Cao Y. Event-triggered synchronization for delayed reaction-diffusion neural networks under hybrid deception attacks. Knowl-Based Syst, 2024, ${\bf 301}$: 112304
[11] Han H, Zhang C. Asymptotical stability of neutral reaction-diffusion equations with PCAS and their finite element methods. Acta Math Sci, 2023, ${\bf 43B}$(4): 1865-1880
[12] Zhang Y, Sun M, Li K. Synchronization on complex dynamical networks via intermittently sampled-data pinning control. Physica A, 2024, ${\bf 654}$: 130109
[13] Bai J, Wu H, Cao J. Secure synchronization and identification for fractional complex networks with multiple weight couplings under DoS attacks. Comput Appl Math, 2022, ${\bf 41}$: 187
[14] Rebolledo R, Navarrete S, Kefi S, et al. An opensystem approach to complex biological networks. SIAM J Appl Math, 2019, ${\bf 79}$: 619-640
[15] Guionnet T, Guillemot C. Soft decoding and synchronization of arithmetic codes: Application to image transmission over noisy channels. IEEE Trans Image Process, 2003, ${\bf 12}$: 1599-1609
[16] Jiang S, Zhou J, Small M, et al. Fiedler value: The cumulated dynamical contribution value of all edges in a complex network. Phys Rev E, 2024, ${\bf 109}$: 054301
[17] Shanmugam S, Narayanan G, Rajagopal K, et al. Finite-time synchronization of complex-valued neural networks with reaction-diffusion terms: An adaptive intermittent control approach. Neural Comput Appl, 2024, ${\bf 36}$: 7389-7404
[18] Tang R, Yuan S, Yang X, et al. Finite-time synchronization of intermittently controlled reaction-diffusion systems with delays: A weighted LKF method. Commun Nonlinear Sci Numer Simulat, 2023, ${\bf 127}$: 107571
[19] Wang L, Zeng K, Hu C, et al. Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme. Knowl-Based Syst, 2022, ${\bf 236}$: 107785
[20] Xu C, Jiang M, Hu J. Mean-square finite-time synchronization of stochastic competitive neural networks with infinite time-varying delays and reaction-diffusion terms. Commun Nonlinear Sci Numer Simulat, 2023, ${\bf 127}$: 107535
[21] Polyakov A.Nonlinear feedback design for fixed-time stabilization of linear control system. IEEE Trans Autom Control, 2012, ${\bf 57}$: 2106-2110
[22] Wei W, Hu C, Yu J, et al. Fixed/preassigned-time synchronization of quaternion-valued neural networks involving delays and discontinuous activations: A direct approach. Acta Math Sci, 2023, ${\bf 43B}$(3): 1439-1461
[23] Hu X, Wang L, Zhang C, et al. Fixed-time synchronization of fuzzy complex dynamical networks with reaction-diffusion terms via intermittent pinning control. IEEE Trans Fuzzy Syst, 2024, ${\bf 32}$: 2307-2317
[24] Liu Z, Cai Y, Hu C, et al. Exponential control-based fixed/preassigned-time synchronization of output-coupled spatiotemporal networks with directed topology. Commun Nonlinear Sci Numer Simulat, 2024, ${\bf 139}$: 108267
[25] Liu Z, Yu J, Lam H. Passivity-based adaptive fuzzy control for stochastic nonlinear switched systems via T-S fuzzy modeling. IEEE Trans Fuzzy Syst, 2023, ${\bf 31}$: 1401-1408
[26] Wu G, He Y, Zhang H, et al. Passivity-based stability analysis and generic controller design for grid-forming inverter. IEEE Trans Power Electron, 2023, ${\bf 38}$: 5832-5843
[27] Shu Y, Liu X, Liu Y. Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay. Neurocomputing, 2016, ${\bf 173}$: 1706-1714
[28] Jiang Y. Intermittent distributed control for a class of nonlinear reaction-diffusion systems with spatial point measurements. J Franklin Inst, 2019, ${\bf 356}$: 3811-3830
[29] Yao J, Guan Z, Hill D.Passivity-based control and synchronization of general complex dynamical networks. Automatica, 2009, ${\bf 45}$: 2107-2113
[30] Wang J, Wu H, Huang T, et al. Passivity and output synchronization of complex dynamical networks with fixed and adaptive coupling strength. IEEE Trans Neural Netw Learn Syst, 2016, ${\bf 29}$: 364-376
[31] Cao Y, Wen S, Huang T, et al. Passivity analysis of coupled neural networks with reaction-diffusion terms and mixed delays. J Franklin Inst, 2018, ${\bf 355}$: 8915-8933
[32] Wang J, Qin Z, Wu H, et al. Passivity and synchronization of coupled uncertain reaction-diffusion neural networks with multiple time delays. IEEE Trans Neural Netw Learn Syst, 2018, ${\bf 30}$: 2434-2448
[33] Huang Y, Xu B, Ren S. Analysis and pinning control for passivity of coupled reaction-diffusion neural networks with nonlinear coupling. Neurocomputing, 2018, ${\bf 272}$: 334-342
[34] Tang H, Duan S, Hu X, et al. Passivity and synchronization of coupled reaction-diffusion neural networks with multiple time-varying delays via impulsive control. Neurocomputing, 2018, ${\bf 318}$: 30-42
[35] Wang Y. Event-triggered passivity and synchronization of multiple derivative coupled reaction-diffusion neural networks. Neurocomputing, 2024, ${\bf 586}$: 127619
[36] Huang Y, Lin S, Yang E. Event-triggered passivity of multi-weighted coupled delayed reaction-diffusion memristive neural networks with fixed and switching topologies. Commun Nonlinear Sci Numer Simulat, 2020, ${\bf 89}$: 105292
[37] Wu K, Zhou W, Liu X. Passivity-based boundary control for delay reaction-diffusion systems. J Franklin Inst, 2022, ${\bf 359}$: 4074-4096
[38] Gao H, Chen T, Chai T. Passivity and passification for networked control systems. SIAM J Control Optim, 2007, ${\bf 46}$: 1299-1322
[39] Liu S, Geng Z, Sun J. Finite-time attitude control: A finite-time passivity approach. IEEE/CAA J Autom Sin, 2015, ${\bf 2}$: 102-108
[40] Huang Y, Wu F. Finite-time passivity and synchronization of coupled complex-valued memristive neural networks. Inf Sci, 2021, ${\bf 580}$: 775-800
[41] Wang J, Wang D, Wu H, et al. Finite-time passivity and synchronization of complex dynamical networks with state and derivative coupling. IEEE Trans Cybern, 2021, ${\bf 51}$: 3845-3857
[42] Wang Z, Cao J, Lu G, et al. Fixed-time passification analysis of interconnected memristive reaction-diffusion neural networks. IEEE Trans Netw Sci Eng, 2020, ${\bf 7}$: 1814-1824
[43] Wang J, Zhang X, Wu H, et al.Finite-time passivity of adaptive coupled neural networks with undirected and directed topologies. IEEE Trans Cybern, 2018, ${\bf 50}$: 2014-2025
[44] Zhang X, Wang J, Zhang Y, et al. Finite-time passivity of multiple weighted coupled uncertain neural networks with directed and undirected topologies. Neurocomputing, 2019, ${\bf 367}$: 217-225
[45] Lei A, Li Z, Gang Z. Research on urban public traffic network with multi-weights based on single bus transfer junction. Physica A, 2015, ${\bf 436}$: 748-755
[46] Wang J, Zhang X, Wu H, et al. Finite-time passivity and synchronization of coupled reaction-diffusion neural networks with multiple weights. IEEE Trans Cybern, 2018, ${\bf 49}$: 3385-3397
[47] Wang J, Zhao L, Wu H, et al. Finite-time passivity and synchronization of multi-weighted complex dynamical networks under PD control. IEEE Trans Neural Netw Learn Syst, 2024, ${\bf 35}$: 507-518
[48] Wei R, Cao J, Alsaadi F. Fixed-time passivity of coupled quaternion-valued neural networks with multiple delayed couplings. Soft Comput, 2023, ${\bf 27}$: 8959-8970
[49] Wei W, Wang J. Fixed-time passivity of multi-weighted coupled quaternion-valued neural networks. Neurocomputing, 2024, ${\bf 574}$: 127289
[50] Ren F, Jiang M, Xu H, et al. Quasi fixed-time synchronization of memristive Cohen-Grossberg neural networks with reaction-diffusion. Neurocomputing, 2020, ${\bf 415}$: 74-83
[51] Ding K, Zhu Q, Huang T. Prefixed-time local intermittent sampling synchronization of stochastic multicoupling delay reaction-diffusion dynamic networks. IEEE Trans Neural Netw Learn Syst, 2024, ${\bf 35}$: 718-732
[52] Yu W, Chen G, Lü J, et al. Synchronization via pinning control on general complex networks. SIAM J Control Optim, 2013, ${\bf 51}$: 1395-1416
[53] Lu J, Cao J. Synchronization-based approach for parameters identification in delayed chaotic neural networks. Physica A, 2007, ${\bf 382}$: 672-682
[54] Lu J. Global exponential stability and periodicity of reaction-diffusion delayed recurrent neural networks with Dirichlet boundary conditions. Chaos Solitons Fractals, 2008, ${\bf 35}$: 116-125
[55] Hu C, He H, Jiang H. Fixed/preassigned-time synchronization of complex networks via improving fixed-time stability. IEEE Trans Cybern, 2021, ${\bf 51}$: 2882-2892
[56] Hardy G, Littlewood J, Polya G.Inequalities. Cambridge: Cambridge University Press, 1952
[57] Gradshteyn I, Ryzhik I.Table of Integrals, Series, and Products. New York: Academic Press, 2014
