Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure
Zhi-Hai Wu(吴治海)† and Lin-Bo Xie(谢林柏)
Engineering Research Center of Internet of Things Technology Applications of MOE, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Abstract This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems (MASs) with partial agents subject to synchronous self-sensing function failure (SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finite-time dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61876073) and the Fundamental Research Funds for the Central Universities of China (Grant No. JUSRP21920).
Zhi-Hai Wu(吴治海) and Lin-Bo Xie(谢林柏) Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure 2022 Chin. Phys. B 31 128902
[1] Yan Z P, Liu Y B, Zhou J J, Zhang W and Wang L 2017 Chin. Phys. B26 040203 [2] Zhang X, Wang J H, Yang D D and Xu Y 2017 Chin. Phys. B26 070501 [3] Ren H W and Deng F Q 2017 Chin. Phys. B26 100506 [4] Mo L P, Guo S Y and Yu Y G 2018 Chin. Phys. B27 070504 [5] Fang M Y, Zhou C C, Huang X and Li X 2019 Chin. Phys. B28 010703 [6] Qiu X F, Zhang Y X and Li K Z 2019 Chin. Phys. B28 050501 [7] Chen X, Yin L Y, Liu Y T and Liu H 2019 Chin. Phys. B28 090701 [8] Liu X D and Mo L P 2021 Chin. Phys. B30 070701 [9] Wang X L and Hong Y G 2008 Proceedings of the 17th IFAC World Congress, July 6-11, 2008, Seoul, Korea, p. 15185 [10] Guan Z H, Sun F L, Wang Y W and Li T 2012 IEEE Trans. Circuits Syst. I59 2646 [11] Lu X Q, Chen S H and Lü J H 2013 IET Control Theory Appl.7 1562 [12] Zhao Y, Duan Z S and Wen G H 2015 IET Control Theory Appl.9 312 [13] Yu S H and Long X J 2015 Automatica54 158 [14] Chen C, Lewis F L, Xie S L, Modares H, Liu Z and Zuo S 2019 Automatica102 19 [15] Yan B, Wu C F and Shi P 2019 J. Franklin Inst.356 6547 [16] Cao L, Li H Y, Dong G W and Lu R Q 2021 IEEE Trans. Syst. Man Cybern. Syst.51 3855 [17] Dong G W, Li X M, Yao D Y, Li H Y and Lu R Q 2021 Int. J. Robust Nonlinear Control31 9588 [18] Xiong S S and Hou Z S 2021 IEEE Trans. Neural Netw. Learn. Syst. [19] Yu Y J, Guo J and Xiang Z R 2022 IEEE Syst. J.16 3480 [20] Ren W and Beard R W 2005 IEEE Trans. Autom. Control50 655 [21] Jin Z P and Murray R M 2006 Proceedings of the 45th IEEE Conference on Decision & Control, December 13-15, 2006, San Diego, USA, p. 1001 [22] Yuan D M, Xu S Y, Zhao H Y and Chu Y M 2010 Phys. Lett. A374 2438 [23] Lü J H and Tang C Y 2012 IEEE Trans. Autom. Control57 1005 [24] Rong L N, Xu S Y, Zhang B Y and Zou Y 2013 Int. J. Syst. Sci.44 1181 [25] Pan H, Nian X H and Guo L 2014 Int. J. Syst. Sci.45 902
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.
