Distributed Control for Uncertain Nonlinear Multiagent Systems Subject to Hybrid Faults

Abstract

This paper investigates a distributed consensus control problem for a class of uncertain nonlinear multiagent systems with hybrid faults. Most of the existing works about consensus control for multi-agent systems solely consider either actuator faults or process faults. Different from the works, the more comprehensive hybrid faults are proposed which mainly focusing on both process and actuator faults occur simultaneously. For the nonlinear multiagent systems with uncertainties, we propose a less conservative consensus strategy which relax the conservative condition on nonlinear terms. Subsequently, the novel distributed consensus strategy is proposed with the help of backstepping design method. Based on the Lyapunov stability theory, it is proved strictly that the proposed controllers make the followers reach an agreement on certain quantity of common interest. Finally, a simulation example is given to verify the effectiveness of the theoretical result.

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Correspondence to Changchun Hua.

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Recommended by Associate Editor Xian-Ming Zhang under the direction of Editor Hamid Reza Karimi. This work was supported by National Key R&D Program of China (2018YFB1308300), National Natural Science Foundation of China (61825304, 61751309,61673335) and the Open Research Fund from the State Key Laboratory of Rolling and Automation, Northeastern University, Grant No.: 2017RALKFKT006.

Changchun Hua received his Ph.D. degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2005. He was a research fellow in National University of Singapore from 2006 to 2007. From 2007 to 2009, he worked in Carleton University, Canada, funded by Province of Ontario Ministry of Research and Innovation Program. From 2009 to 2011, he worked in University of Duisburg-Essen, Germany, funded by Alexander von Humboldt Foundation. Now he is a full professor in Yanshan University, China. He is the author or coauthor of more than 110 papers in mathematical, technical journals, and conferences. He has been involved in more than 10 projects supported by the National Natural Science Foundation of China, the National Education Committee Foundation of China, and other important foundations. His research interests are in nonlinear control systems, control systems design over network, teleoperation systems and intelligent control.

Zhejie Li received his B.S. degree from the College of Information and Electrical Engineering, HeBei University of Engineering, Han-Dan, China, in 2015. He is currently working toward an M.S. degree in electrical engineering from Yanshan University, Qinhuangdao, China. His research interest is in multiagent system control.

Kuo Li received his B.S. degree from College of Automation and Electrical Engineering, Qingdao University, Qingdao, China, in 2015. He is currently working toward an M.S. degree in electrical engineering from Yanshan University, Qinhuangdao, China. His research interest is in nonlinear system control.

Shuzong Chen received his Ph.D. in materials processing engineering from Northeastern University, Shenyang, in China, in 2014 and worked as a postdoctoral fellow in this University from 2014 to 2017. Currently, he is a lecturer in College of Electrical Engineering, Yanshan University Qinhuangdao, in China. His main research area is the application of automation and intelligence in strip rolling process.

Jie Sun received his Ph.D. degree from Northeastern University in 2011. He is currently an associate professor at State Key Laboratory of Rolling and Automation in Northeastern University, China. His major research areas are applications of automation and intelligence for strip rolling process.

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Hua, C., Li, Z., Li, K. et al. Distributed Control for Uncertain Nonlinear Multiagent Systems Subject to Hybrid Faults. Int. J. Control Autom. Syst. 18, 2589–2598 (2020). https://doi.org/10.1007/s12555-019-0363-3

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Keywords

  • Consensus control
  • hybrid faults
  • multi-agent systems
  • unmodeled dynamics