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Volume 10 Issue 3
Mar.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2023  >  10(3): 700-710
J. Wang, S. Y. Li, and Y. Y. Zou, “Connectivity-maintaining consensus of multi-agent systems with communication management based on predictive control strategy,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 700–710, Mar. 2023. doi: 10.1109/JAS.2023.123081
Citation: J. Wang, S. Y. Li, and Y. Y. Zou, “Connectivity-maintaining consensus of multi-agent systems with communication management based on predictive control strategy,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 700–710, Mar. 2023. doi: 10.1109/JAS.2023.123081
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Connectivity-maintaining Consensus of Multi-agent Systems With Communication Management Based on Predictive Control Strategy

doi: 10.1109/JAS.2023.123081

  • Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China

Funds:  This work was supported by the National Key Research and Development Program of China (2018AAA0101701) and the National Natural Science Foundation of China (62173224, 61833012)
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    Abstract
  • This paper studies the connectivity-maintaining consensus of multi-agent systems. Considering the impact of the sensing ranges of agents for connectivity and communication energy consumption, a novel communication management strategy is proposed for multi-agent systems so that the connectivity of the system can be maintained and the communication energy can be saved. In this paper, communication management means a strategy about how the sensing ranges of agents are adjusted in the process of reaching consensus. The proposed communication management in this paper is not coupled with controller but only imposes a constraint for controller, so there is more freedom to develop an appropriate control strategy for achieving consensus. For the multi-agent systems with this novel communication management, a predictive control based strategy is developed for achieving consensus. Simulation results indicate the effectiveness and advantages of our scheme.

     

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    Highlights

    • A scheme including a communication management strategy and a predictive control based strategy is designed for the multi-agent systems that the connectivity-maintaining consensus can be achieved and the communication energy can be saved
    • The proposed novel communication management strategy is not coupled with controller but only impose a constraint for controller, so there is more freedom to develop an appropriate control strategy for the system, and with this strategy, the connectivity can be guaranteed and the communication energy can be saved
    • A predictive control based strategy is designed with this novel communication management strategy, and compared to the related literature, the scheme in this paper can save more communication energy

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