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Topology-induced containment for general linear systems on weakly connected digraphs

2021; Elsevier BV; Volume: 131; Linguagem: Inglês

10.1016/j.automatica.2021.109734

1873-2836

Filippo Cacace, Mattia Mattioni, S. Monaco, Lorenzo Ricciardi Celsi,

Advanced Memory and Neural Computing

The paper deals with topology-induced containment output feedback for ensuring multi-consensus of homogeneous linear systems evolving over a weakly connected communication digraph. Starting from the extension of a recent characterization of multi-consensus, a decentralized static feedback enforcing multi-consensus is designed based on a suitable network-induced decomposition; a neighborhood state-observer is proposed for completing the design. The results are finally illustrated over a simple simulated example.