Consensus Control of Multi-Agent Systems Using Fault-Estimation-in-the-Loop: Dynamic Event-Triggered Case

Yamei Ju; Derui Ding; Xiao He; Qing-Long Han; Guoliang Wei

doi:10.1109/JAS.2021.1004386

Volume 9 Issue 8

Aug. 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(8): 1440-1451

Y. M. Ju, D. R. Ding, X. He, Q.-L. Han, and G. L. Wei, “Consensus control of multi-agent systems using fault-estimation-in-the-loop: Dynamic event-triggered case,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1440–1451, Aug. 2022. doi: 10.1109/JAS.2021.1004386

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Y. M. Ju, D. R. Ding, X. He, Q.-L. Han, and G. L. Wei, “Consensus control of multi-agent systems using fault-estimation-in-the-loop: Dynamic event-triggered case,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1440–1451, Aug. 2022. doi: 10.1109/JAS.2021.1004386

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Consensus Control of Multi-Agent Systems Using Fault-Estimation-in-the-Loop: Dynamic Event-Triggered Case

doi: 10.1109/JAS.2021.1004386

Yamei Ju^1
,,
Derui Ding^{2, 3
,
,},
Xiao He^4
,,
Qing-Long Han^5
,,
Guoliang Wei^6
,

1.
Shanghai Key Lab of Modern Optical System, the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
2.
Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
3.
School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
4.
Department of Automation, BNRist, Tsinghua University, Beijing 100084, China
5.
School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
6.
College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China

Funds: This work was supported in part by the Australian Research Council Discovery Early Career Researcher Award (DE200101128)

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Author Bio:
Yamei Ju received the B.Sc. degree in process equipment and control engineering from Zaozhuang University, Zaozhuang, China, in 2014 and the M.Sc. degree in mechanical engineering from Changchun University of Technology, Changchun, China in 2017, and the Ph.D. degree in control science and control engineering from University of Shanghai for Science and Technology, Shanghai, China in 2020. She is currently a Post-Doctoral Research Fellow with the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology. Her current research interests include networked control systems, fault detection and fault tolerant control. She is also a very active reviewer for some international journals

Derui Ding (Senior Member, IEEE) received both the B.Sc. degree in industry engineering in 2004 and the M.Sc. degree in detection technology and automation equipment in 2007 from Anhui Polytechnic University, Wuhu, China, and the Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China in 2014. He is currently a Senior Research Fellow with the School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia. From July 2007 to December 2014, he was a Teaching Assistant and then a Lecturer in the Department of Mathematics, Anhui Polytechnic University, Wuhu, China. From June 2012 to September 2012, he was a Research Assistant in the Department of Mechanical Engineering, the University of Hong Kong, China. From March 2013 to March 2014, he was a Visiting Scholar in the Department of Information Systems and Computing, Brunel University London, UK. From June 2015 to August 2015, he was a Research Assistant in the Department of Mathematics, City University of Hong Kong, China. His research interests include nonlinear stochastic control and filtering, as well as multi-agent systems and sensor networks. He has published over 100 papers in refereed international journals. He is a Standing Director of the IEEE PES Intelligent Grid & Emerging Technologies Satellite Committee-China. He received the 2020 Andrew P. Sage Best Transactions Paper Award from the IEEE Systems, Man, and Cybernetics (SMC) Society, and the IET Premium Awards 2018. He is serving as an Associate Editor for Neurocomputing and IET Control Theory & Applications. He also served as a Guest Editor for several issues, including the International Journal of Systems Science, International Journal of General Systems, and Kybernetika

Xiao He (Senior Member, IEEE) received the B.Eng. degree in information technology from the Beijing Institute of Technology, Beijing, China, in 2004, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2010. Currently, he is a tenured Associate Professor with the Department of Automation, Tsinghua University. He has authored more than 90 papers in refereed international journals. His research interests include fault diagnosis and fault tolerant control, networked systems, cyber-physical systems, as well as their application. He is now a Full Member of Sigma Xi, the Scientific Research Society, and a Senior Member of Chinese Association of Automation. He is an Associate Editor of the Control Engineering Practice

Qing-Long Han (Fellow, IEEE) received the B.Sc. degree in mathematics from Shandong Normal University, Jinan, China, in 1983, and the M.Sc. and Ph.D. degrees in control engineering and electrical engineering from East China University of Science and Technology, Shanghai, China, in 1992 and 1997, respectively. From September 1997 to December 1998, he was a Post-doctoral Researcher Fellow with the Laboratoire d’Automatique et d’Informatique Industielle (currently, Laboratoire d’Informatique et d’Automatique pour les Systémes), École Supérieure d’Ingénieurs de Poitiers (currently, École Nationale Supérieure d’Ingénieurs de Poitiers), Université de Poitiers, France. From January 1999 to August 2001, he was a Research Assistant Professor with the Department of Mechanical and Industrial Engineering at Southern Illinois University at Edwardsville, USA. From September 2001 to December 2014, he was Laureate Professor, an Associate Dean (Research and Innovation) with the Higher Education Division, and the Founding Director of the Centre for Intelligent and Networked Systems at Central Queensland University, Australia. From December 2014 to May 2016, he was Deputy Dean (Research), with the Griffith Sciences, and a Professor with the Griffith School of Engineering, Griffith University, Australia. In May 2016, he joined Swinburne University of Technology, Australia, where he is currently Pro Vice-Chancellor (Research Quality) and a Distinguished Professor. His research interests include networked control systems, multi-agent systems, time-delay systems, complex dynamical systems and neural networks. He is a Highly Cited Researcher according to Clarivate Analytics (formerly Thomson Reuters). He is a Fellow of The Institution of Engineers Australia. He is an Associate Editor of several international journals, including the IEEE Transactions on Cybernetics, the IEEE Transactions on Industrial Electronics, the IEEE Transactions on Industrial Informatics, IEEE Industrial Electronics Magazine, the IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, and Information Sciences

Guoliang Wei received the B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 1997, and the M.Sc. degree in applied mathematics and the Ph.D. degree in control engineering, both from Donghua University, Shanghai, China, in 2005 and 2008, respectively. He is currently a Professor with the College of Science, University of Shanghai for Science and Technology, Shanghai. From 2010 to 2011, he was an Alexander von Humboldt Research Fellow with the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. From 2009 to 2010, he was a Post-Doctoral Research Fellow with the Department of Information Systems and Computing, Brunel University London, Uxbridge, UK, sponsored by the Leverhulme Trust of the UK. He was a Research Assistant with the University of Hong Kong, China, for two months, in 2007 and with the City University of Hong Kong, China, for two months, in 2008. His current research interests include nonlinear systems, stochastic systems, and bioinformatics. He has published over 50 papers in refereed international journals. He is a very active reviewer for many international journals
Corresponding author: Derui Ding, e-mail: deruiding2010@usst.edu.cn
Received Date: 2021-08-17
Accepted Date: 2021-09-23

Available Online: 2021-10-25

Abstract

Abstract

The paper develops a novel framework of consensus control with fault-estimation-in-the-loop for multi-agent systems (MASs) in the presence of faults. A dynamic event-triggered protocol (DETP) by adding an auxiliary variable is utilized to improve the utilization of communication resources. First, a novel estimator with a noise bias is put forward to estimate the existed fault and then a consensus controller with fault compensation (FC) is adopted to realize the demand of reliability and safety of addressed MASs. Subsequently, a novel consensus control framework with fault-estimation-in-the-loop is developed to achieve the predetermined consensus performance with the $l_{2}$-$l_{\infty}$ constraint by employing the variance analysis and the Lyapunov stability approaches. Furthermore, the desired estimator and controller gains are obtained in light of the solution to an algebraic matrix equation and a linear matrix inequality in a recursive way, respectively. Finally, a simulation result is employed to verify the usefulness of the proposed design framework.
- Consensus control,
- dynamic event-triggered protocol (DETP),
- fault compensation (FC),
- fault estimation,
- multi-agent systems (MASs)

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References

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Consensus Control of Multi-Agent Systems Using Fault-Estimation-in-the-Loop: Dynamic Event-Triggered Case

doi: 10.1109/JAS.2021.1004386

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