SCIENTIA SINICA Informationis, Volume 48 , Issue 9 : 1198-1213(2018) https://doi.org/10.1360/N112017-00279

Distributed hybrid-triggered state estimation for complex networked system with network attacks

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  • ReceivedJan 28, 2018
  • AcceptedFeb 3, 2018
  • PublishedMay 22, 2018


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[1] Zhou T, Bo W J, Wang B H, et al. A brief of complex networks. Physics, 2005, 34: 31--36. Google Scholar

[2] An X L, Zhang L, Li Y Z. Synchronization analysis of complex networks with multi-weights and its application in public traffic network. Phys A Stat Mech Its Appl, 2014, 412: 149-156 CrossRef ADS Google Scholar

[3] Tang Y, Qian F, Gao H J. Synchronization in complex networks and its application — a survey of recent advances and challenges. Annu Rev Control, 2014, 38: 184-198 CrossRef Google Scholar

[4] Li F, Zhang L, Liu Y K. A clustering network-based approach to service composition in cloud manufacturing. Int J Comput Integr Manuf, 2017, 30: 1331-1342 CrossRef Google Scholar

[5] Jing G S, Zheng Y S, Wang L. Consensus of multiagent systems with distance-dependent communication networks. IEEE Trans Neural Netw Learn Syst, 2017, 28: 2712-2726 CrossRef PubMed Google Scholar

[6] Shen B, Wang Z D, Ding D R. H state estimation for complex networks with uncertain inner coupling and incomplete measurements. IEEE Trans Neural Netw Learn Syst, 2013, 24: 2027-2037 CrossRef PubMed Google Scholar

[7] Wang L C, Wei G L, Shu H S. State estimation for complex networks with randomly occurring coupling delays. Neurocomputing, 2013, 122: 513-520 CrossRef Google Scholar

[8] Liu J L, Tang J, Fei S M. Event-based state estimation for delayed neural network systems with quantization. Sci Sin Inform, 2016, 46: 1555--1568. Google Scholar

[9] Hu J, Wang Z D, Liu S. A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements. Automatica, 2016, 64: 155-162 CrossRef Google Scholar

[10] Johan strm K J, Bo B. Comparison of periodic and event based sampling for first-order stochastic systems. IFAC Proc Volumes, 1999, 32: 5006-5011 CrossRef Google Scholar

[11] Yue D, Tian E G, Han Q L. A delay system method for designing event-triggered controllers of networked control systems. IEEE Trans Autom Control, 2013, 58: 475-481 CrossRef Google Scholar

[12] Ge X, Han Q L. Distributed event-triggered H filtering over sensor networks with communication delays. Inf Sci, 2015, 291: 128-142 CrossRef Google Scholar

[13] Yan H, Xu X, Zhang H. Distributed event-triggered H state estimation for T-S fuzzy systems over filtering networks. J Franklin Institute, 2017, 354: 3760-3779 CrossRef Google Scholar

[14] Yang R H, Zhang H, Yan H C. Event-triggered cooperative output regulation of heterogeneous multi-agent systems with switching topology. Acta Autom Sin, 2017, 43: 472--477. Google Scholar

[15] Zhu M H, Martinez S. Stackelberg-game analysis of correlated attacks in cyber-physical systems. In: Proceedings of American Control Conference, San Francisco, 2011. 4063--4068. Google Scholar

[16] Foroush H S, Martinez S. On event-triggered control of linear systems under periodic denial-of-service jamming attacks. In: Proceedings of the 51st IEEE Conference on Decision and Control, Maui, 2012. 2551--2556. Google Scholar

[17] Liu S, Wei G L, Song Y. Extended Kalman filtering for stochastic nonlinear systems with randomly occurring cyber attacks. Neurocomputing, 2016, 207: 708-716 CrossRef Google Scholar

[18] Lu A Y, Yang G H. Event-triggered secure observer-based control for cyber-physical systems under adversarial attacks. Inf Sci, 2017, 420: 96-109 CrossRef Google Scholar

[19] Tan Y S, Liu J L, Zhang Y Y. Event-triggered state estimation for complex networked systems. J Syst Sci Math, 2015, 35: 891--903. Google Scholar

[20] Wang L C, Wang Z D, Huang T W. An event-triggered approach to state estimation for a class of complex networks with mixed time delays and nonlinearities. IEEE Trans Cybern, 2016, 46: 2497-2508 CrossRef PubMed Google Scholar

[21] Zhang W B, Wang Z D, Liu Y R. Event-based state estimation for a class of complex networks with time-varying delays: a comparison principle approach. Phys Lett A, 2017, 381: 10-18 CrossRef ADS Google Scholar

[22] Li H J. Sampled-data state estimation for complex dynamical networks with time-varying delay and stochastic sampling. Neurocomputing, 2014, 138: 78-85 CrossRef Google Scholar