N. Akbari, A. Sadr, A. Kazemy, Exponential synchronization of Markovian jump complex dynamical networks with uncertain transition rates and mode-dependent coupling delay. Circuits Syst. Signal Process. 39(8), 3875–3906 (2020)
F.E. Alsaadi, Z. Wang, D. Wang, F.E. Alsaadi, F.W. Alsaade, Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: The state-saturated case. Inf. Fusion 60, 11–19 (2020)
L.A. Aya-Velandia, Contributions of complex systems and complex networks for social transformation. Revista Logos Cienc. Tecnol. 12(1), 204–216 (2020)
A. Bombelli, B.F. Santos, L. Tavasszy, Analysis of the air cargo transport network using a complex network theory perspective. Transp. Res. Part E Logist. Transp. Rev. 138, 101959 (2020)
S. Boyd, L.E. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory (SIAM, Philadelphia, 1994)
N. Celik, F. O’Brien, S. Brennan, R.D. Rainbow, C. Dart, Z. Yalin, F. Coenen, R. Barrett-Jolley, Deep-channel uses deep neural networks to detect single-molecule events from patch-clamp data. Commun. Biol. 3(1), 1–10 (2020)
Y. Chen, Z. Wang, L. Wang, W. Sheng, Mixed \({H}_2/{H}_\infty \) state estimation for discrete-time switched complex networks with random coupling strengths through redundant channels. IEEE Trans. Neural Netw. Learn. Syst. 31(10), 4130–4142 (2019)
J. Daňa, F. Caputo, J. Ráček, Complex network analysis for knowledge management and organizational intelligence. J. Knowl. Econ. 11(2), 405–424 (2020)
D. Ding, Z. Wang, B. Shen, Recent advances on distributed filtering for stochastic systems over sensor networks. Int. J. Gen. Syst. 43(3–4), 372–386 (2014)
D. Ding, Z. Tang, Y. Wang, Z. Ji, Pinning impulsive synchronization of complex networks with multiple sizes of delays via adaptive impulsive intervals. Circuits Syst. Signal Process. 40(9), 4259–4278 (2021)
H. Dong, J. Zhou, B. Wang, M. Xiao, Synchronization of nonlinearly and stochastically coupled Markovian switching networks via event-triggered sampling. IEEE Trans. Neural Netw. Learn. Syst. 29(11), 5691–5700 (2018)
H. Dong, N. Hou, Z. Wang, W. Ren, Variance-constrained state estimation for complex networks with randomly varying topologies. IEEE Trans. Neural Netw. Learn. Syst. 29(7), 2757–2768 (2017)
F. Ferrante, C. Prieur, Boundary control design for linear conservation laws in the presence of energy-bounded measurement noise, in 2018 IEEE Conference on Decision and Control (CDC). p. 6550–6555 (2018)
C. Gray, A. Ma, O. McLaughlin, S. Petit, G. Woodward, D.A. Bohan, Ecological plasticity governs ecosystem services in multilayer networks. Commun. Biol. 4(1), 1–7 (2021)
A. Gronow, M. Brockhaus, M. Di Gregorio, A. Karimo, T. Ylä-Anttila, Policy learning as complex contagion: how social networks shape organizational beliefs in forest-based climate change mitigation. Policy Sci. 54, 529–556 (2021)
W. Guan, H. Zhang, V.C.M. Leung, Analysis of traffic performance on network slicing using complex network theory. IEEE Trans. Veh. Technol. 69(12), 15188–15199 (2020)
P. Haojie, Z. Jie, S. Weisheng, An adaptive cubature Kalman filter algorithm for passive location. In 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), (IEEE, 2020), pp. 420–423
D. Hu, X. Song, X. Li, Extended dissipative-based state estimation for Markov jump coupled neural networks with reaction-diffusion terms. Trans. Inst. Meas. Control. 44(4), 871–879 (2022)
J. Hu, Z. Wang, G.-P. Liu, C. Jia, J. Williams, Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements. Automatica 115, 108908 (2020)
C. Jia, J. Hu, B. Li, H. Liu, Z. Wu, Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol. J. Franklin Inst. 359, 5575–5595 (2022)
J. Li, G. Wei, D. Ding, Y. Li, Set-membership filtering for discrete time-varying nonlinear systems with censored measurements under round-robin protocol. Neurocomputing 281, 20–26 (2018)
J.-Y. Li, Z. Wang, R. Lu, Y. Xu, Partial-nodes-based state estimation for complex networks with constrained bit rate. IEEE Trans. Netw. Sci. Eng. 8(2), 1887–1899 (2021)
M. Li, Y. Chen, C.-C. Lim, Stability analysis of complex network control system with dynamical topology and delays. IEEE Trans. Syst. Man Cybern. Syst. 51(11), 7228–7237 (2021)
X. Li, G. Wei, L. Wang, Distributed set-membership filtering for discrete-time systems subject to denial-of-service attacks and fading measurements: A zonotopic approach. Inf. Sci. 547, 49–67 (2021)
X. Li, F. Han, N. Hou, H. Dong, H. Liu, Set-membership filtering for piecewise linear systems with censored measurements under round-robin protocol. Int. J. Syst. Sci. 51(9), 1578–1588 (2020)
C. Liu, Z. Wang, R. Lu, T. Huang, Y. Xu, Finite-time estimation for Markovian bam neural networks with asymmetrical mode-dependent delays and inconstant measurements. IEEE Trans. Neural Netw. Learn. Syst. 34(1), 344–354 (2023)
C. Liu, L. Yang, J. Tao, Y. Xu, T. Huang, Set-membership filtering for complex networks with constraint communication channels. Neural Netw. 152, 479–486 (2022)
C. Liu, S. Sun, Event-triggered distributed kalman consensus filter for sensor networks, in 2020 Chinese Automation Congress (CAC), (IEEE, 2020), pp. 6488–6493
S. Liu, Z. Wang, G. Wei, M. Li, Distributed set-membership filtering for multirate systems under the round-robin scheduling over sensor networks. IEEE Trans. Cybern. 50(5), 1910–1920 (2020)
S. Liu, G. Wei, Y. Song, D. Ding, Set-membership state estimation subject to uniform quantization effects and communication constraints. J. Franklin Inst. 354(15), 7012–7027 (2017)
Y. Liu, Z. Wang, D. Zhou, Scalable distributed filtering for a class of discrete-time complex networks over time-varying topology. IEEE Trans. Neural Netw. Learn. Syst. 31(8), 2930–2941 (2019)
L. Ma, Z. Wang, H.-K. Lam, N. Kyriakoulis, Distributed event-based set-membership filtering for a class of nonlinear systems with sensor saturations over sensor networks. IEEE Trans. Cybern. 47(11), 3772–3783 (2016)
J. Mao, Y. Sun, X. Yi, H. Liu, D. Ding, Recursive filtering of networked nonlinear systems: a survey. Int. J. Syst. Sci. 52(6), 1110–1128 (2021)
F. Meng, H. Liu, X. Shen, J. Wang, Optimal prediction and update for box set-membership filter. IEEE Access 7, 41636–41646 (2019)
C. Sergiou, M. Lestas, P. Antoniou, C. Liaskos, A. Pitsillides, Complex systems: a communication networks perspective towards 6g. IEEE Access 8, 89007–89030 (2020)
W. Sun, T. Hu, Z. Chen, S. Chen, L. Xiao, Impulsive synchronization of a general nonlinear coupled complex network. Commun. Nonlinear Sci. Numer. Simul. 16(11), 4501–4507 (2011)
X. Wan, Y. Li, Y. Li, M. Wu, Finite-time \({H}_\infty \) state estimation for two-time-scale complex networks under stochastic communication protocol. IEEE Trans. Neural Netw. Learn. Syst. 33(1), 25–36 (2022)
X. Wang, J. Fang, W. Zhou, Fixed-time synchronization control for a class of nonlinear coupled Cohen–Grossberg neural networks from synchronization dynamics viewpoint. Neurocomputing 400, 371–380 (2020)
N. Xia, F. Yang, Q.-L. Han, Distributed networked set-membership filtering with ellipsoidal state estimations. Inf. Sci. 432, 52–62 (2018)
Y. Xu, R. Lu, H. Peng, K. Xie, A. Xue, Asynchronous dissipative state estimation for stochastic complex networks with quantized jumping coupling and uncertain measurements. IEEE Trans. Neural Netw. Learn. Syst. 28(2), 268–277 (2015)
F. Yang, Y. Li, Set-membership filtering for systems with sensor saturation. Automatica 45(8), 1896–1902 (2009)
S. Zhai, P. Liu, Synchronization of coupled discrete systems with competitive interactions and time-varying topologies, in 2018 37th Chinese Control Conference (CCC), pp. 6896–6901 (2018)
D.-D. Zhou, B. Hu, Z.-H. Guan, C.-X. Cai, D.-X. Zhang, D.-X. He, Sampled-data state estimation for complex networks with partial measurements. IEEE Trans. Syst. Man Cybern. Syst. 50(11), 4787–4795 (2020)
L. Zou, Z. Wang, H. Gao, Set-membership filtering for time-varying systems with mixed time-delays under round-robin and weighted try-once-discard protocols. Automatica 74, 341–348 (2016)