Distributed Adaptive Output Consensus of Unknown Heterogeneous Non-Minimum Phase Multi-Agent Systems

Wenji Cao; Lu Liu; Gang Feng

doi:10.1109/JAS.2023.123204

Volume 10 Issue 4

Apr. 2023

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2023 > 10(4): 997-1008

W. J. Cao, L. Liu, and G. Feng, “Distributed adaptive output consensus of unknown heterogeneous non-minimum phase multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 997–1008, Apr. 2023. doi: 10.1109/JAS.2023.123204

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W. J. Cao, L. Liu, and G. Feng, “Distributed adaptive output consensus of unknown heterogeneous non-minimum phase multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 997–1008, Apr. 2023. doi: 10.1109/JAS.2023.123204

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Distributed Adaptive Output Consensus of Unknown Heterogeneous Non-Minimum Phase Multi-Agent Systems

doi: 10.1109/JAS.2023.123204

Wenji Cao^1
,,
Lu Liu^{1
,
,},
Gang Feng^1
,

Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China

Funds: This work was supported by Research Grants Council of Hong Kong (CityU-11205221)

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Author Bio:
Wenji Cao received the B.S. degree from Leshan Normal University, in 2017, and the M.S. degree from Chongqing University of Posts and Telecommunications, in 2020. She is currently pursuing the Ph.D. degree in biomedical engineering from City University of Hong Kong, Hong Kong, China. Her current research interests include multi-agent systems, adaptive control and event-triggered control

Lu Liu (Senior Member, IEEE) received the Ph.D. degree from the Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong, China, in 2008.From 2009 to 2012, she was an Assistant Professor with the University of Tokyo, Japan, and then a Lecturer with the University of Nottingham, U.K. After that, she joined City University of Hong Kong, Hong Kong, China, where she is currently an Associate Professor. Her current research interests include networked dynamical systems, control theory and applications, and biomedical devices.Dr. Liu is an Associate Editor of the IEEE Robotics and Automation Letters, IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Control Theory and Technology, and Unmanned Systems

Gang Feng (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the University of Melbourne, Australia. He has been with City University of Hong Kong since 2000 after serving as Lecturer/Senior Lecturer at School of Electrical Engineering, University of New South Wales, Australia, 1992–1999. He is now Chair Professor of Mechatronic Engineering. He has been awarded the IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award, the IEEE Transactions on Fuzzy Systems Outstanding Paper Award, Alexander von Humboldt Fellowship, Changjiang chair professorship from Education Ministry of China, and City University of Hong Kong Outstanding Research Award. He is listed as a SCI highly cited researcher by Clarivate Analytics, 2016–2021. His current research interests include multi-agent systems and control, intelligent systems and control, and networked systems and control.Prof. Feng is an Associate Editor of IEEE Trans. Fuzzy Systems, Journal of Systems Science and Complexity, Autonomous Intelligent Systems, and Guidance, Navigation & Control, and was an associate editor of IEEE Trans. Automatic Control, IEEE Trans. Systems, Man & Cybernetics, Part C, Mechatronics, and Journal of Control Theory and Applications. He is on the Advisory Board of Unmanned Systems
Corresponding author: Lu Liu, e-mail: luliu45@cityu.edu.hk
Received Date: 2022-01-10
Revised Date: 2022-03-03
Accepted Date: 2022-03-14

Available Online: 2022-04-26

Abstract

Abstract

This article addresses the leader-following output consensus problem of heterogeneous linear multi-agent systems with unknown agent parameters under directed graphs. The dynamics of followers are allowed to be non-minimum phase with unknown arbitrary individual relative degrees. This is contrary to many existing works on distributed adaptive control schemes where agent dynamics are required to be minimum phase and often of the same relative degree. A distributed adaptive pole placement control scheme is developed, which consists of a distributed observer and an adaptive pole placement control law. It is shown that under the proposed distributed adaptive control scheme, all signals in the closed-loop system are bounded and the outputs of all the followers track the output of the leader asymptotically. The effectiveness of the proposed scheme is demonstrated by one practical example and one numerical example.
- Adaptive pole placement control,
- heterogeneous multi-agent systems,
- leader-following output consensus,
- non-minimum phase

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References(42)

References

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The leader-following output consensus problem of heterogeneous linear multi-agent systems with unknown agent parameters under directed graphs is solved
The followers are allowed to be non-minimum phase with unknown arbitrary individual relative degrees
A distributed adaptive pole placement control scheme is developed, which consists of a distributed observer and an adaptive pole placement control law

Distributed Adaptive Output Consensus of Unknown Heterogeneous Non-Minimum Phase Multi-Agent Systems

doi: 10.1109/JAS.2023.123204

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通讯作者: 陈斌, bchen63@163.com

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