|
|
Hybrid-triggered consensus for multi-agent systems with time-delays, uncertain switching topologies, and stochastic cyber-attacks |
Xia Chen(陈侠), Li-Yuan Yin(尹立远), Yong-Tai Liu(刘永泰), Hao Liu(刘皓) |
School of Automation, Shenyang Aerospace University, Shenyang 110136, China |
|
|
Abstract We propose a new approach to discuss the consensus problem of multi-agent systems with time-varying delayed control inputs, switching topologies, and stochastic cyber-attacks under hybrid-triggered mechanism. A Bernoulli variable is used to describe the hybrid-triggered scheme, which is introduced to alleviate the burden of the network. The mathematical model of the closed-loop control system is established by taking the influences of time-varying delayed control inputs, switching topologies, and stochastic cyber-attacks into account under the hybrid-triggered scheme. A theorem as the main result is given to make the system consistent based on the theory of Lyapunov stability and linear matrix inequality. Markov jumps with uncertain rates of transitions are applied to describe the switch of topologies. Finally, a simulation example demonstrates the feasibility of the theory in this paper.
|
Received: 07 April 2019
Revised: 09 June 2019
Accepted manuscript online:
|
PACS:
|
05.45.Xt
|
(Synchronization; coupled oscillators)
|
|
02.30.Yy
|
(Control theory)
|
|
89.75.-k
|
(Complex systems)
|
|
05.10.-a
|
(Computational methods in statistical physics and nonlinear dynamics)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61074159 and 61703286). |
Corresponding Authors:
Li-Yuan Yin
E-mail: 2992868494@qq.com
|
Cite this article:
Xia Chen(陈侠), Li-Yuan Yin(尹立远), Yong-Tai Liu(刘永泰), Hao Liu(刘皓) Hybrid-triggered consensus for multi-agent systems with time-delays, uncertain switching topologies, and stochastic cyber-attacks 2019 Chin. Phys. B 28 090701
|
[42] |
Mozelli L A, Palhares R M and Mendes E M A M 2010 IET Control Theory A 4 2813
|
[1] |
Arbanas B, Ivanovic A, Car M, Orsag M, Petrovic T and Bogdan S 2018 Auton Robot 42 1601
|
[43] |
Souza F O, Palhares R M and Barbosa K A 2008 IET Control Theory A 2 1033
|
[2] |
Beard R W, Mclain T W, Nelson D B, Kingston D and Johansonet D 2006 Proceedings of the IEEE 94 1306
|
[44] |
Michael N, Schwager M, Kumar V and Rus D 2014 Cardiologia 39 631
|
[3] |
Wang J H, Xu Y L, Zhang J and Yang D D 2018 Chin. Phys. B 27 040504
|
[45] |
Schwager M, Michael N, Kumar V and Rus D 2011 IEEE International Conference on Robotics & Automation, May 9-13, 2011, Shanghai, China, p. 3855
|
[4] |
Luo X Y, Han N N and Guan X P 2010 Chin. Phys. B 19 100202
|
[46] |
Chen P, Qing L H, and Dong Y 2013 IEEE T. Fuzzy. Syst. 21 164
|
[5] |
Cao J F, Ling Z H, Yuan Y F and Gao C 2014 Chin. Phys. B 23 070509
|
[47] |
Tian E, Yue D and Gu Z 2010 Fuzzy Set Syst. 161 2731
|
[6] |
Bin B W, Zhong J M and Yi W 2017 Acta Phys. Sin. 66 060201(in Chinese)
|
[7] |
Yu Z Y, Jiang H J, Hu C and Yu J 2017 IEEE T. Cybernetics 47 1892
|
[8] |
Miao G Y, Xu S Y, Zhang B Y and Zou Y 2014 IMA J. Math. Control. I 31 151
|
[9] |
Wu X T, Tang Y, Cao J D and Zhang W B 2016 IEEE T. Cybernetics 46 1817
|
[10] |
Li Y L, Li H T, Ding X Y and Zhao G D 2019 IEEE T. Cybernetics 49 3203
|
[11] |
Liu C J and Liu G P 2018 J. Franklin I 355 4198
|
[12] |
Heitor J S, Carlos R P dos S, Fernando O S, Luciano C A P, Maurício D O and Reinaldo M P 2016 IEEE T. Ind. Electron. 63 1258
|
[13] |
Fang M, Zhou C C and Huang X 2019 Chin. Phys. B 28 010703
|
[14] |
Liu X Y, Sun J, Dou L H and Chen J 2017 J. Syst. Sci. Complex 30 30
|
[15] |
Cheng T H, Kan Z, Justin R K, John M S and Warren E D 2017 IEEE T. Automat. Contr. 62 5365
|
[16] |
Liu J L, Zha L J, Cao J and Fei S M 2016 IET Control Theory A 10 2279
|
[17] |
Liu J L, Xia J L, Cao J and Tian E G 2018 Neurocomputing 291 35
|
[18] |
Zhang Y, Yang Y and Fan Y 2016 IEEE Control Conference, July 27-29, 2016, Chengdu, China, p. 7634
|
[19] |
Liu J L, Xia J L, Tian E G and Fei S M 2018 Appl. Math. Comput. 320 158
|
[20] |
Zha L J, Tian E G, Xie X P, Gu Z and Cao J 2018 Inform. Sciences 457-458 141
|
[21] |
Liu J L, Wei L L, Xie X P, Tian E G and Fei S M 2018 IEEE T. Fuzzy Syst. 26 3820
|
[22] |
Huang K X, Zhou C J, Tian Y C, Yang S G and Qin Y Q 2018 IEEE T. Ind. Electron. 65 8153
|
[23] |
Xiong J L, Lam J, Gao H J and Daniel W C H 2005 Automatica 41 897
|
[24] |
Xiong J L and James L 2009 Int. J. Syst. Sci. 40 255
|
[25] |
Zhang L X, Boukas E K and Lam J 2008 IEEE T. Automat. Contr. 53 2458
|
[26] |
Zhang L X and Boukas E K 2009 Automatica 45 463
|
[27] |
Rohatgi V K 1983 Technometrics 25 116
|
[28] |
Yue D, Han Q L and Lam J 2005 Pergamon Press, Inc. pp. 999-1007
|
[29] |
Tian E, Yue D and Peng C 2010 IET Control Theory A 4 1478
|
[30] |
Yan H C, Xu X L, Zhang H and Yang F W 2017 J. Franklin I 354 3760
|
[31] |
Yue D, Tian E G and Han Q L 2013 IEEE T. Automat. Cont.r 58 475
|
[32] |
Liu J L, Zha L J, Cao J and Fei S M 2016 IET Control Theory A 10 2279
|
[33] |
Miao G Y, Xu S Y, Zhang B Y and Zou Y 2014 IMA J. Math. Control I 31 151
|
[34] |
Liu J L, Wei L L, Tian E G, Fei S M and Cao J 2017 J. Franklin I 354 8490
|
[35] |
Liu J L, Xia J L, Tian E G and Fei S M 2018 Appl. Math. Comput. 320 158
|
[36] |
Nian X H, Gui W H and Liu Y M 2006 Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23, 2006, Dalian, China, p. 1422
|
[37] |
Seuret A and Frédéric G 2014 Automatica 50 300
|
[38] |
Xiong J and Lam J 2009 Int. J. Syst. Sci. 40 255
|
[39] |
Wang Y Y, Xie L H and De S C E 1992 Robust control of a class of uncertain nonlinear systems (New York:Elsevier Science Publishers B. V.) pp. 139-149
|
[40] |
Savino H J, Souza F O and Pimenta L C A 2015 Int. J. Syst. Sci. 47 2475
|
[41] |
Sun Y G and Wang L 2009 IEEE T. Automat. Contr. 54 1607
|
[42] |
Mozelli L A, Palhares R M and Mendes E M A M 2010 IET Control Theory A 4 2813
|
[43] |
Souza F O, Palhares R M and Barbosa K A 2008 IET Control Theory A 2 1033
|
[44] |
Michael N, Schwager M, Kumar V and Rus D 2014 Cardiologia 39 631
|
[45] |
Schwager M, Michael N, Kumar V and Rus D 2011 IEEE International Conference on Robotics & Automation, May 9-13, 2011, Shanghai, China, p. 3855
|
[46] |
Chen P, Qing L H, and Dong Y 2013 IEEE T. Fuzzy. Syst. 21 164
|
[47] |
Tian E, Yue D and Gu Z 2010 Fuzzy Set Syst. 161 2731
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|