Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol

Weihua Li; Huaguang Zhang; Yu Zhou; Yingchun Wang

doi:10.1109/JAS.2021.1004377

Volume 9 Issue 5

May 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(5): 847-853

W. H. Li, H. G. Zhang, Y. Zhou, and Y. C. Wang, “Bipartite formation tracking for multi-agent systems using fully distributed dynamic edge-event-triggered protocol,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 847–853, May 2022. doi: 10.1109/JAS.2021.1004377

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W. H. Li, H. G. Zhang, Y. Zhou, and Y. C. Wang, “Bipartite formation tracking for multi-agent systems using fully distributed dynamic edge-event-triggered protocol,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 847–853, May 2022. doi: 10.1109/JAS.2021.1004377

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Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol

doi: 10.1109/JAS.2021.1004377

Weihua Li^1
,,
Huaguang Zhang^{1, 2
,
,},
Yu Zhou^1
,,
Yingchun Wang^1
,

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2.
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, China

Funds: This work was supported by National Key R & D Program of China (2018YFA0702200), the National Natural Science Foundation of China (61627809, 62173080), and Liaoning Revitalization Talents Program (XLYC1801005)

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Author Bio:
Weihua Li received the B.S. degree in electrical engineering and automation from Shenyang University of Technology in 2018. He is currently a Ph.D. candidate in control theory and control engineering at College of Information Science and Engineering, Northeastern University. His current research interests include multi-agent systems, event/self-triggered control, fully distributed cooperative control and cyber-physical systems

Huaguang Zhang (Fellow, IEEE) received the B.S. and M.S. degrees in control engineering from the Northeast Dianli University of China in 1982 and 1985, respectively, and the Ph.D. degree in thermal power engineering and automation from Southeast University in 1991. He joined the Department of Automatic Control, Northeastern University in 1992, as a Post-Doctoral Fellow for two years. Since 1994, he has been a Professor and the Head of the Institute of Electric Automation, School of Information Science and Engineering, Northeastern University. His main research interests include fuzzy control, stochastic system control, neural networks-based control, nonlinear control, and their applications

Yu Zhou received the B.S. and M.S. degrees in engineering from Bohai University in 2016 and 2019, respectively. He is currently a Ph.D. candidate in control theory and control engineering at Nor- theastern University. His current research interests include multi-agent systems and coordination control

Yingchun Wang (Member, IEEE) received the B.S., M.S., and Ph.D. degrees from Northeastern University in 1997, 2003, and 2006, respectively. He is currently an Associate Professor with the College of Information Science and Engineering, Northeastern University. From 2015 to 2016, he was a Visiting Scholar with West Sydney University, Australia. His current research interests include network control, multi-agent systems, sliding mode control, fuzzy control, stochastic control. He was an Outstanding Reviewer of IEEE Transactions on Cybernetics 2015
Corresponding author: Huaguang Zhang, e-mail: hgzhang@ieee.org
Received Date: 2021-10-21
Accepted Date: 2021-11-13

Available Online: 2021-11-27

Abstract

Abstract

In this study, the bipartite time-varying output formation tracking problem for heterogeneous multi-agent systems (MASs) with multiple leaders and switching communication networks is considered. Note that the switching communication networks may be connected or disconnected. To address this problem, a novel reduced-dimensional observer-based fully distributed asynchronous dynamic edge-event-triggered output feedback control protocol is developed, and the Zeno behavior is ruled out. The theoretical analysis gives the admissible switching frequency and switching width under the proposed control protocol. Different from the existing works, the control protocol reduces the dimension of information to be transmitted between neighboring agents. Moreover, since an additional positive internal dynamic variable is introduced into the triggering functions, the control protocol can guarantee a larger inter-event time interval compared with previous results. Finally, a simulation example is given to verify the effectiveness and performance of the theoretical result.
- Bipartite control,
- dynamic edge-event-triggered control,
- formation tracking,
- multi-agent systems (MASs)

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References(40)

References

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This paper addresses the bipartite time-varying output formation tracking problem for heterogeneous MASs with multiple leaders and switching communication networks via a novel reduced-dimensional observer-based fully distributed asynchronous dynamic edge-event-triggered output feedback control protocol
The proposed control protocol reduces the dimension of information to be transmitted between neighboring agents
The control protocol can guarantee a larger inter-event time interval and reduce more communication frequency
A reduced-dimensional observer is designed. In contrast to the full-dimensional observer, the design cost of observer is greatly reduced
This paper considers the case that the switching communication networks may be disconnected. Theoretical analysis gives the admissible switching frequency and switching width under the proposed control protocol. Compared with related works, the admissible switching frequency and switching width are larger

Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol

doi: 10.1109/JAS.2021.1004377

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通讯作者: 陈斌, bchen63@163.com

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