Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

doi:10.1088/1674-1056/ac8347

中国物理B ›› 2022, Vol. 31 ›› Issue (12): 128902-128902.doi: 10.1088/1674-1056/ac8347

• • 上一篇

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

收稿日期:2022-06-23 修回日期:2022-07-14 接受日期:2022-07-22 出版日期:2022-11-11 发布日期:2022-11-21
通讯作者: Zhi-Hai Wu E-mail:wuzhihai@jiangnan.edu.cn
基金资助:
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).

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

Received:2022-06-23 Revised:2022-07-14 Accepted:2022-07-22 Online:2022-11-11 Published:2022-11-21
Contact: Zhi-Hai Wu E-mail:wuzhihai@jiangnan.edu.cn
Supported by:
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).

摘要/Abstract

摘要： 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.

关键词: multi-agent systems, synchronous self-sensing function failure, finite-time dynamical consensus, network topology connectivity recovery

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.

Key words: multi-agent systems, synchronous self-sensing function failure, finite-time dynamical consensus, network topology connectivity recovery

中图分类号: (Complex systems)

89.75.-k

05.65.+b (Self-organized systems) 02.30.Yy (Control theory)

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[J]. 中国物理B, 2022, 31(12): 128902-128902.

参考文献

[1] Yan Z P, Liu Y B, Zhou J J, Zhang W and Wang L 2017 Chin. Phys. B 26 040203
[2] Zhang X, Wang J H, Yang D D and Xu Y 2017 Chin. Phys. B 26 070501
[3] Ren H W and Deng F Q 2017 Chin. Phys. B 26 100506
[4] Mo L P, Guo S Y and Yu Y G 2018 Chin. Phys. B 27 070504
[5] Fang M Y, Zhou C C, Huang X and Li X 2019 Chin. Phys. B 28 010703
[6] Qiu X F, Zhang Y X and Li K Z 2019 Chin. Phys. B 28 050501
[7] Chen X, Yin L Y, Liu Y T and Liu H 2019 Chin. Phys. B 28 090701
[8] Liu X D and Mo L P 2021 Chin. Phys. B 30 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. I 59 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 Automatica 54 158
[14] Chen C, Lewis F L, Xie S L, Modares H, Liu Z and Zuo S 2019 Automatica 102 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 Control 31 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. Control 50 655
[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. A 374 2438
[23] Lü J H and Tang C Y 2012 IEEE Trans. Autom. Control 57 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

Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

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