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Coordinated Output Regulation of Heterogeneous Multi-agent Systems Under Switching Disconnected Topologies

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  • Control Theory and Applications
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Abstract

This paper deals with the coordinated output regulation problem of heterogeneous multi-agent systems under switching disconnected topologies. The main difficulty is that the outputs of some disconnected agents can inevitably deviate from the divergent trajectories of exosystems across some periods. To break through this challenge, we propose an interesting approach named piecewise time unit approach, in which each switching interval consists of several time units. By analyzing the trajectories of error states under the distributed observer-based control, the decreasing properties of switching behaviors can be obtained to overcome the divergence of error states. Based on this, the sufficient conditions guaranteeing the output regulation can be obtained. Finally, a simulation example is given to demonstrate our results.

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Author information

Authors and Affiliations

  1. Marine Electrical Engineering College, Dalian Maritime University, Dalian, 116026, China

    Jian Sun & Chen Guo

  2. College of Science, Liaoning University of Technology, **zhou, 121001, China

    Lei Liu

  3. School of Navigation, Dalian Maritime University, Dalian, 116026, China

    Qihe Shan

Authors
  1. Jian Sun
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  2. Chen Guo
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  3. Lei Liu
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  4. Qihe Shan
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Corresponding authors

Correspondence to Jian Sun or Chen Guo.

Additional information

Jian Sun received his B.S. degree in automatic control from the Dalian Jiaotong University, Dalian, China, in 2014, an M.S. degree in control science and engineering from Northeastern University, Shenyang, China, in 2016, and a Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2020. He is currently a post doctoral in control science and engineering in Dalian Maritime University, Dalian, China. His current research interests include multi-agent systems, switching topology, and switched systems.

Chen Guo received his B.S. degree from the Department of Automatic Control, Chongqing University, China, in 1982, and his M.S. and Ph.D. degrees both in marine engineering automation from Dalian Maritime University, China, in 1985 and 1992, respectively. He is currently a Doctoral Supervisor with the Institute of Ship Automation and Simulator, Dalian Maritime University. He is a Chairman of the Degree Evaluation Committee of Control Science and Engineering, a Principal of the First Level Discipline of Control Science and Engineering, Dalian Maritime University. He is mainly engaged in marine automatic control systems, marine engine system simulation, and intelligent control theory and application.

Lei Liu received his B.S. degree in information and computing science and an M.S. degree in applied mathematics from the Liaoning University of Technology, **zhou, China, in 2010 and 2013, respectively. He received a Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2017. He is currently a Professor with the College of Science, Liaoning University of Technology, **zhou. His current research interests include fault-tolerant control, optimal control, neural network control, and fuzzy control and their industrial applications.

Qihe Shan received his B.S. degree in mathematics from the Dalian University of Technology, Dalian, China, in 2009, an M.S. degree in fundamental mathematics from Dalian Jiaotong University, Dalian, in 2012, and a Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2017. He is currently an associate professor in Dalian Maritime University, Dalian, China. His current research interests include consensus control and strict containment control of multi-agent systems under complicated noise environment, and distributed optimization theory and its application in the field of intelligent ship.

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This work was supported by the National Natural Science Foundation of China under Grants 51879027, 51579024, and Postdoctoral Research Foundation of China under Grant 3620081006.

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Sun, J., Guo, C., Liu, L. et al. Coordinated Output Regulation of Heterogeneous Multi-agent Systems Under Switching Disconnected Topologies. Int. J. Control Autom. Syst. 21, 1165–1174 (2023). https://doi.org/10.1007/s12555-022-0043-6

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  • DOI: https://doi.org/10.1007/s12555-022-0043-6

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