Abstract
This paper investigates the problem of consensus for one kind of sampled-data heterogeneous multi-agent system. We first discretize the continuous-time networked system by the method of sampled-data. Then we use a system transformation to transform the multi-agent system into the reduced-order error system. Two consensus algorithms with and without velocity measurement will be considered respectively. We obtain two sufficient conditions for the networked systems with and without velocity measurement to reach consensus through analyzing the stable problem of the reduced-order systems. Simulations are given to verify the effectiveness of the results.
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Recommended by Associate Editor Le Van Hien under the direction of Editor PooGyeon Park.
The work was supported by Six Talent Peaks Project in Jiangsu Province (Grant No. 2015-DZXX-029) and “333” Project in Jiangsu Province (Grant No. BRA2019285).
Huanyu Zhao received his B.S. degree in mathematics and applied mathematics from Hubei University in 2005, and a Ph.D. degree in control science and engineering from the Nanjing University of Science and Technology in 2011. In 2010, he was an exchange Ph.D. student with the Department of Electrical and Computer Engineering, Utah State University. From 2013 to 2014, he was a Post-Doctoral Candidate with the Department of Electrical Engineering, Yeungnam University, South Korea. In 2016, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, National University of Singapore. He is currently an Associate Professor with Huaiyin Institute of Technology. His research interests include Markov switching systems, cooperative control of multi-agent systems, and game theory.
Lei Wang received her B.S. degree in Huaiyin Normal University, Huai-an, China, in 2017. From 2018 to 2021, she is studying for an M.S. degree in Huaiyin Institute of Technology. Her research interests include coordination of multiagent systems.
Hongbiao Zhou received his B.S. degree in electrical engineering and automation from the Huaiyin Institute of Technology, Huai-an, China, in 2003, and an M.S. degree in control theory and control engineering from Lanzhou University of Technology, Lanzhou, China, in 2009, and a Ph.D. degree in control science and engineering from Beijing University of Technology, Beijing, China, in 2019. His current research interests include neural networks, multi-objective optimization, and process control systems.
Dongsheng Du received his B.S. degree in applied mathematics and an M.S. degree in control theory from Qufu Normal University, Qufu, China, in 2003 and 2006, a Ph.D. in control theory and engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2012. From 2008 to 2013, he was a lecture with School of Science, Huaihai Institute of Technology. From 2015, he was an associate professor with Faculty of Automation, Huaiyin Institute of Technology. From Nov. 2016 to Nov. 2017, he was a visiting scholar with Centre de Recherche en Informatique, Signal et Automatique de Lille, Polytech-Lille, France. His current research interests include fault diagnosis, fault tolerant control and switched system.
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Zhao, H., Wang, L., Zhou, H. et al. Consensus for a Class of Sampled-data Heterogeneous Multi-agent Systems. Int. J. Control Autom. Syst. 19, 1751–1759 (2021). https://doi.org/10.1007/s12555-020-0240-0
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DOI: https://doi.org/10.1007/s12555-020-0240-0