JOURNAL ARTICLE

Synchronization and Consensus in Networks of Linear Fractional-Order Multi-Agent Systems via Sampled-Data Control

Jiejie ChenBoshan ChenZhigang Zeng

Year: 2019 Journal:   IEEE Transactions on Neural Networks and Learning Systems Vol: 31 (8)Pages: 2955-2964   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This article addresses synchronization and consensus problems in networks of linear fractional-order multi-agent systems (LFOMAS) via sampled-data control. First, under very mild assumptions, the necessary and sufficient conditions are obtained for achieving synchronization in networks of LFOMAS. Second, the results of synchronization are applied to solve some consensus problems in networks of LFOMAS. In the obtained results, the coupling matrix does not have to be a Laplacian matrix, its off-diagonal elements do not have to be nonnegative, and its row-sum can be nonzero. Finally, the validity of the theoretical results is verified by three simulation examples.

Keywords:
Synchronization (alternating current) Diagonal Laplacian matrix Consensus Order (exchange) Computer science Matrix (chemical analysis) Diagonal matrix Control (management) Mathematics Multi-agent system Control theory (sociology) Topology (electrical circuits) Laplace operator Artificial intelligence Combinatorics Mathematical analysis

Metrics

64
Cited By
6.21
FWCI (Field Weighted Citation Impact)
56
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications

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