Consensus Analysis of the Second Order Multi-agent Systems Based on Large Communication Delay

Shoubo JIN; Zhangzhi WEI; Yaohong LI

doi:10.11999/JEIT191009

Volume 43 Issue 4

Apr. 2021

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Shoubo JIN, Zhangzhi WEI, Yaohong LI. Consensus Analysis of the Second Order Multi-agent Systems Based on Large Communication Delay[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1029-1034. doi: 10.11999/JEIT191009

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Shoubo JIN, Zhangzhi WEI, Yaohong LI. Consensus Analysis of the Second Order Multi-agent Systems Based on Large Communication Delay[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1029-1034. doi: 10.11999/JEIT191009

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Consensus Analysis of the Second Order Multi-agent Systems Based on Large Communication Delay

doi: 10.11999/JEIT191009

School of Mathematics and Statistics, Suzhou University, Suzhou 234000, China

Funds: The National Natural Science Foundation of China (61876073), The Key Natural Science Research Projects of Anhui Universities (KJ2019A0666, KJ2019A0672, KJ2018A0452)

Received Date: 2019-12-18
Rev Recd Date: 2020-04-27

Available Online: 2020-07-09

Publish Date: 2021-04-20

Abstract

Abstract

Under the directed network topology, the consensus of the second order multi-agent system with large communication delay is studied, the protocol of delayed-state-derivative feedback with weighting term is proposed, which improves the problem of system oscillation caused by large communication delay. Firstly, the delayed-state-derivative feedback protocol with weighting term is introduced, and the closed-loop form of the second-order multi-agent system is given. Then, the sufficient and necessary conditions for the asymptotic steady-state consensus of the second-order multi-agent system are obtained by using the frequency domain analysis method, and it is proved that the second-order multi-agent system can tolerate the greater communication delay under the delayed-state-derivative feedback protocol with weighting term. Finally, the advantage of the delayed-state-derivative feedback protocol with weighting term is verified by numerical simulation.
- Multi-agent system,
- Consensus,
- Robustness,
- Communication delay

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References(18)

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