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IIJEC:Volume 8, Issue 2, February 2020

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Title:
Bounded Distributed Average Tracking of General Linear Multi-Agent Systems Based on Sample-Data
Author Name:
Yimin Duan, Zhihai Wu, Li Peng
Abstract:
ABSTRACT A distributed average tracking protocol based on sampled data is proposed for general linear multi-agent systems, which can guarantee that general linear multi-agent systems track multiple time-varying signals with general linear dynamics in a distributed manner. Based on the relative information among the neighboring agents, the states of each agent will converge to the average of the multiple reference signals if the network topology is undirected and connected. Algebraic graph theory, matrix theory and the discrete Lyapunov method are employed to theoretically prove the validity of the proposed protocol, and derive the sufficient conditions to ensure the system stability. The analysis results show that the range of the sampling period is related to the system matrix and that the steady-state error of the system is related to the control gain and the sampling period. Finally, three simulation examples are presented to validate the theoretical results. Keywords: bounded distributed average tracking, general linear multi-agent systems, sampled-data, time-varying reference signals
Cite this article:
Yimin Duan, Zhihai Wu, Li Peng , " Bounded Distributed Average Tracking of General Linear Multi-Agent Systems Based on Sample-Data" , IPASJ INTERNATIONAL JOURNAL OF ELECTRONICS & COMMUNICATION (IIJEC) , Volume 8, Issue 2, February 2020 , pp. 001-012 , ISSN 2321-5984.
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