Loading [MathJax]/extensions/MathMenu.js
Resilient Leader-Following Consensus of Continuous Second-order Multi-agent Systems With Malicious agents | IEEE Conference Publication | IEEE Xplore

Resilient Leader-Following Consensus of Continuous Second-order Multi-agent Systems With Malicious agents


Abstract:

Resilient leader-following consensus in continuous double-integrator multi-agent systems is considered in this paper. To realize global objectives, all agents need to com...Show More

Abstract:

Resilient leader-following consensus in continuous double-integrator multi-agent systems is considered in this paper. To realize global objectives, all agents need to communicate with their neighbors, which can be vulnerable to malicious attacks. In spite of the presence of malicious agents, the benign ones aim to follow the leader. With regards to this, a resilient leader-following consensus protocol is presented. Under certain topology condition, the proposed protocol can guarantee that the resilient leader-follower consensus is achieved. Simulation results are finally given to demonstrate the validity of theoretical results.
Date of Conference: 25-27 July 2022
Date Added to IEEE Xplore: 11 October 2022
ISBN Information:

ISSN Information:

Conference Location: Hefei, China

Funding Agency:

References is not available for this document.

1 Introduction

With the rapid development of computer and communication devices, cooperative control in MASs has received ex-tensive research interest. In terms of consensus in MASs, it is assumed that each agent behaves normally in [2]–[5]. Never-theless, it is worth noting that the distributed network makes the system vulnerable to malicious attacks, and external ad-versaries may degrade the performance of existing methods. Meanwhile, the differences between faulty attacks are systematically in [6], showing that malicious attacks usually de-grade the system performance more severely.

Select All
1.
Yan Jiaqi, Chao Deng and Changyun Wen, "Resilient output regulation in heterogeneous networked systems under Byzan-tine agents", Automatica, vol. 133, pp. 109872, 2021.
2.
Jadbabaie Ali, Jie Lin and A. Stephen Morse, "Coordination of groups of mobile autonomous agents using nearest neighbor rules", IEEE Transactions on automatic control, vol. 48.6, pp. 988-1001, 2003.
3.
Reza Olfati-Saber and Richard M. Murray, "Consensus problems in networks of agents with switching topology and time-delays", IEEE Transactions on automatic control, vol. 49.9, pp. 1520-1533, 2004.
4.
Reza Olfati-Saber, J. Alex Fax and Richard M. Murray, "Con-sensus and cooperation in networked multi-agent systems", Proceedings of the IEEE, vol. 95.1, pp. 215-233, 2007.
5.
Li Zhongkui and Zhisheng Duan, Cooperative control of multi-agent systems: a consensus region approach, CRC press, 2017.
6.
An-Yang Lu and Guang-Hong Yang, "Secure state estimation for multiagent systems with faulty and malicious agents", IEEE Transactions on Automatic Control, vol. 65.8, pp. 3471-3485, 2019.
7.
Dolev Danny et al., "Reaching approximate agreement in the presence of faults", Journal of the ACM (JACM), vol. 33.3, pp. 499-516, 1986.
8.
Roger M. Kieckhafer and Mohammad H. Azadmanesh, "Reaching approximate agreement with mixed-mode faults", IEEE Transactions on Parallel and Distributed Systems, vol. 5.1, pp. 53-63, 1994.
9.
L. Lamport, R. Shostak and M. Pease, The Byzantine Generals Problem?Acm Transactions of Programming Languages and Systems, 1982.
10.
Heath J. LeBlanc et al., "Resilient asymptotic consensus in robust networks", IEEE Journal on Selected Areas in Communications, vol. 31.4, pp. 766-781, 2013.
11.
Nitin H. Vaidya, Lewis Tseng and Guanfeng Liang, "lterative approximate Byzantine consensus in arbitrary directed graphs", Proceedings of the 2012 ACM symposium on Prin-ciples of distributed computing, 2012.
12.
Seyed Mehran Dibaji and Hideaki Ishii, "Consensus of second-order multi-agent systems in the presence of locally bounded faults", Systems Control Letters, vol. 79, pp. 23-29, 2015.
13.
Aritra Mitra and Shreyas Sundaram, "Byzantine-resilient distributed observers for LTI systems", Automatica, vol. 108, pp. 108487, 2019.
14.
Shreyas Sundaram and Bahman Gharesifard, "Distributed optimization under adversarial nodes", IEEE Transactions on Automatic Control, vol. 64.3, pp. 1063-1076, 2018.
15.
Lili Su and Shahin Shahrampour, "Finite-time guarantees for Byzantine-resilient distributed state estimation with noisy measurements", IEEE Transactions on Automatic Control, vol. 65.9, pp. 3758-3771, 2019.
16.
Heath J. LeBlanc and Xenofon Koutsoukos, "Resilient first-order consensus and weakly stable higher order synchronization of continuous-time networked multiagent systems", IEEE Transactions on Control of Network Systems, vol. 5.3, pp. 1219-1231, 2017.
17.
Heath J. LeBlanc and Firas Hassan, "Resilient distributed parameter estimation in heterogeneous time-varying networks", Proceedings of the 3rd international conference on High confidence networked systems, 2014.
18.
James Usevitch and Dimitra Panagou, "Resilient leader-follower consensus to arbitrary reference values", 2018 Annual American Control Conference (ACC), 2018.
19.
James Usevitch and Dimitra Panagou, "Resilient leader-follower consensus to arbitrary reference values in time-varying graphs", IEEE Transactions on Automatic Control, vol. 65.4, pp. 1755-1762, 2019.
20.
Luc Moreau, "Stability of continuous-time distributed con-sensus algorithms", 2004 43rd IEEE conference on decision and control (CDC)(IEEE Cat. No. 04CH37601), vol. 4, 2004.
21.
Wei Ren and Randal W. Beard, "Consensus seeking in multi-agent systems under dynamically changing interaction topolo-gies", IEEE Transactions on automatic control, vol. 50.5, pp. 655-661, 2005.
22.
Jiahu Qin, Wei Xing Zheng and Huijun Gao, "Consensus of multiple second-order vehicles with a time-varying reference signal under directed topology", Automatica, vol. 47.9, pp. 1983-1991, 2011.

Contact IEEE to Subscribe

References

References is not available for this document.