|
|
Time-varying formation for general linear multi-agent systems via distributed event-triggered control under switching topologies |
Jin-Huan Wang(王金环)1, Yu-Ling Xu(许玉玲)1, Jian Zhang(张建)1, De-Dong Yang(杨德东)2 |
1. School of Science, Hebei Provincial Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin 300401, China; 2. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China |
|
|
Abstract This paper investigates the time-varying formation problem for general linear multi-agent systems using distributed event-triggered control strategy. Different from the previous works, to achieve the desired time-varying formation, a distributed control scheme is designed in an event-triggered way, in which for each agent the controller is triggered only at its own event times. The interaction topology among agents is assumed to be switching. The common Lyapunov function as well as Riccati inequality is applied to solve the time-varying formation problem. Moreover, the Zeno behavior of triggering time sequences can be excluded for each agent. Finally, a simulation example is presented to illustrate the effectiveness of the theoretical results.
|
Received: 09 October 2017
Revised: 20 January 2018
Accepted manuscript online:
|
PACS:
|
05.45.Xt
|
(Synchronization; coupled oscillators)
|
|
89.75.-k
|
(Complex systems)
|
|
02.30.Hq
|
(Ordinary differential equations)
|
|
02.30.Yy
|
(Control theory)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11701138) and the Natural Science Foundation of Hebei Province, China (Grant Nos. F2017202009 and F2018202075). |
Corresponding Authors:
Jin-Huan Wang
E-mail: wjhuan228@163.com
|
Cite this article:
Jin-Huan Wang(王金环), Yu-Ling Xu(许玉玲), Jian Zhang(张建), De-Dong Yang(杨德东) Time-varying formation for general linear multi-agent systems via distributed event-triggered control under switching topologies 2018 Chin. Phys. B 27 040504
|
[1] |
Bai H and Wen J T 2010 IEEE Trans. Robotics. 26 742
|
[2] |
Cao F J, Ling Z H, Yuan Y F and Gao C 2014 Chin. Phys. B 23 070509
|
[3] |
Yan W S, Fang X P and Li J B 2014 IEEE Commun. Lett. 18 1579
|
[4] |
Zuo Y Z, Cichella V, Xu M and Hovakimyan N 2015 J. Frankl. Inst. 352 3858
|
[5] |
Chen L M, Li C J, Sun Y C and Ma G F 2017 Chin. Phys. B 26 068703
|
[6] |
Ge M F, Guan Z H, Yang C, Li T and Wang Y W 2016 J. Frankl. Inst. 335 2290
|
[7] |
Ma C Q and Zhang J F 2012 J. Syst. Sci. Complex 25 13
|
[8] |
Olfati-Saber R, Fax J A and Murray M 2007 Proc. IEEE 95 215
|
[9] |
Dong X W, Yu B C, Shi Z Y and Zhong Y S 2015 IEEE Trans. Control Syst. Technol. 23 340
|
[10] |
Dong X W, Shi Z Y, Lu G and Zhong Y S 2014 IET Control Theory Appl. 8 2162
|
[11] |
Liu W, Zhou S L, Qi Y H and Yan S 2015 Control Theory and Application 32 1422
|
[12] |
Wang R, Dong X W, Li Q D and Zhang R 2016 J. Frankl. Inst. 335 2290
|
[13] |
Dong X W, Xi J X, Lu G and Zhong Y S 2014 IEEE Trans. Contr. Network Systems 1 232.
|
[14] |
Qiu Z R, Liu S and Xie L H 2016 Automatica 68 209
|
[15] |
Cheng L, Wang Y P, Hou Z G and Tan M 2016 IEEE Trans. Auto. Contr. 61 3586
|
[16] |
Ai X D, Song S J and You K Y 2016 Automatica 68 329
|
[17] |
Li Z K, Chen Z Q and Ding Z T 2016 Automatica 68 179
|
[18] |
Zhang X, Wang J H, Yang D D and Xu Y 2017 Chin. Phys. B 26 070501
|
[19] |
Li Z K, Duan Z S, Ren W and Feng G 2015 Inter. J. Robust and Nonlinear Control 25 2101
|
[20] |
Li Z K, Ren W, Liu X D and Xie L H 2013 Automatica 49 1986
|
[21] |
Dong X W and Hu G Q 2016 Automatica 73 47
|
[22] |
Mawwary M 2015 Automatica 54 374
|
[23] |
Oh K, Park M and Ahn H 2015 Automatica 53 424
|
[24] |
Yoo S and Kim T 2015 Automatica 54 100
|
[25] |
Cao J, Wu Z H and Peng L 2016 Chin. Phys. B 25 058902
|
[26] |
Hu W F, Liu L and Feng G 2016 IEEE Trans. Cybernetics 46 148
|
[27] |
Zhang H, Feng G, Yan H C, and Chen Q J 2014 IEEE Trans. Industrial Electronics 61 4485
|
[28] |
Yang R H, Zhang H and Yan H C 2017 Acta Automatica Sinica 43 472
|
[29] |
Zhang W B, Yang T, Liu Y R and Kurths J 2017 IEEE Trans. Circuits and Systems I:Regular Papers 64 619
|
[30] |
Hu J, Chen G, and Li H X 2011 Kybernetika 47 630
|
[31] |
Tang T, Hiu Z X and Chen Z Q 2011 Chinese Control Conference 4783
|
[32] |
Ni W, Zhao P, Wang X L, and Wang J H 2015 Asian J. Contr 17 1196
|
[33] |
Liu W, Zhou S L, Qi Y H and Wu X Z 2016 Neurocomputing 173 1322
|
[34] |
Horn R A and Johnson C R 1985 Matrix Analysis (Cambridge:Cambridge University Press)
|
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
|
|
|