Regular Papers
International Journal of Control, Automation and Systems 2014; 12(5): 969-976
Published online August 30, 2014
https://doi.org/10.1007/s12555-013-0223-5
© The International Journal of Control, Automation, and Systems
Consensus of Leader-Following Multi-Agent Systems in Time-Varying Networks via Intermittent Control
This paper is concerned with the issue of consensus for leader-following multi-agent systems, wherein the agents acting as followers update states based on the information received from the time-varying neighbors and the virtual leader. Moreover, the neighbors of an agent are divided into three types according to their relative position, which may also be changed with time. Consensus protocol is derived mainly by using intermittent control, and based on the Lyapunov stability theory, sufficient conditions for consensus are presented and proved theoretically. Finally, some numerical examples are given to demonstrate the effectiveness of the results.
Keywords Consensus, intermittent control, Lyapunov function, multi-agent systems, time-varying networks.
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Regular Papers
International Journal of Control, Automation and Systems 2014; 12(5): 969-976
Published online October 1, 2014 https://doi.org/10.1007/s12555-013-0223-5
Copyright © The International Journal of Control, Automation, and Systems.
Consensus of Leader-Following Multi-Agent Systems in Time-Varying Networks via Intermittent Control
Aihua Hu, Jinde Cao*, and Manfeng Hu
Southeast University
Abstract
This paper is concerned with the issue of consensus for leader-following multi-agent systems, wherein the agents acting as followers update states based on the information received from the time-varying neighbors and the virtual leader. Moreover, the neighbors of an agent are divided into three types according to their relative position, which may also be changed with time. Consensus protocol is derived mainly by using intermittent control, and based on the Lyapunov stability theory, sufficient conditions for consensus are presented and proved theoretically. Finally, some numerical examples are given to demonstrate the effectiveness of the results.
Keywords: Consensus, intermittent control, Lyapunov function, multi-agent systems, time-varying networks.
Vol. 22, No. 12, pp. 3545~3811
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