|
|
Rotating consensus of multi-agent systems without relative velocity measurement |
Chen Xiao-Ping(陈小平)a)†, Xu Hong-Bing(徐红兵)b), and Ban Yong-Xin(班永鑫)c) |
a Institute of Astronautics and Aeronautics, University of Electronic Science and Technology of China, Chengdu 610054, China; b School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China; c Beijing Hang Xing Machinary Manufacturing Company, Beijing 100013, China |
|
|
Abstract We study the rotating consensus of multi-agent systems without the relative velocity measurement in this paper. A new protocol is proposed. Then we use the theory of the complex system combined with the function continuity to derive a condition, under which all agents finally reach the rotating consensus. Finally, a numerical example is provided to illustrate our theoretical results.
|
Received: 18 February 2011
Revised: 24 May 2011
Accepted manuscript online:
|
PACS:
|
05.65.+b
|
(Self-organized systems)
|
|
02.10.Yn
|
(Matrix theory)
|
|
87.10.-e
|
(General theory and mathematical aspects)
|
|
Cite this article:
Chen Xiao-Ping(陈小平), Xu Hong-Bing(徐红兵), and Ban Yong-Xin(班永鑫) Rotating consensus of multi-agent systems without relative velocity measurement 2011 Chin. Phys. B 20 090515
|
[1] |
Hong Y, Gao L, Cheng D and Hu J 2006 Automatica 42 1177
|
[2] |
Hong Y, Gao L, Cheng D and Hu J 2007 IEEE Trans. Automat. Control 52 943
|
[3] |
Lin P and Jia Y 2008 Syst. Control Lett. 57 643
|
[4] |
Moreau L 2004 Proceedings of IEEE Conference on Decision and Control December 14—17, 2004 Nassau, Bahamas, p. 3998
|
[5] |
Lin P and Jia Y 2009 Automatica 45 2154
|
[6] |
Yang T, Jin Y, Wang W and Shi Y 2011 Chin. Phys. B 20 020511
|
[7] |
Lin P and Jia Y 2010 IEEE Trans. Automat. Control 55 778
|
[8] |
Lin P and Jia Y 2008 Physica A 387 303
|
[9] |
G Xie and L Wang 2007 Int. J. Robust Nonlin. 17 941
|
[10] |
Olfati-Saber R, Fax J and Murray R 2008 Proc. IEEE 95 215
|
[11] |
Pavone M and Frazzoli E 2007 J. Dyn. Syst. Meas. Control 129 633
|
[12] |
Ren W and Beard R 2005 IEEE Trans. Automat. Control 50 655
|
[13] |
Ren W 2008 IEEE Trans. Automat. Control 53 1503
|
[14] |
Ren W 2009 IEEE Trans. Automat. Control 54 1330
|
[15] |
Sepulchre R, Paley D and Leonard N 2008 IEEE Trans. Automat. Control 53 706
|
[16] |
Lin P and Jia Y 2010 Syst. Control Lett. 59 587
|
[17] |
Guan X and Li Y 2009 Chin. Phys. B 18 3355
|
[18] |
Pei W, Chen Z and Yuan Z 2008 Chin. Phys. B 17 337
|
[19] |
Li H, Lin P and Zhang C 2009 Acta Phys. Sin. 58 158 (in Chinese)
|
[20] |
Godsil C and Royle G 2001 Algebraic Graph Theory (New York: Springer-Verlag)
|
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
|
|
|