Adaptive state-feedback synchronization with distributed input: The cyclic case

Simone Baldi; Muhammad Ridho Rosa; Paolo Frasca

doi:10.1016/j.ifacol.2018.12.001

Adaptive state-feedback synchronization with distributed input: The cyclic case

Simone Baldi, Muhammad Ridho Rosa, Paolo Frasca

Team Bart De Schutter

Research output: Contribution to journal › Conference article › Scientific › peer-review

8 Citations (Scopus)

48 Downloads (Pure)

Abstract

Using a setting in which the input is communicated among neighbors (without exchanging any distributed observer variables), the problem of synchronizing an acyclic network of linear uncertain agents has been formulated recently as a distributed model reference adaptive control (MRAC) where each agent tries to converge to the model defined by its neighbors. In this work we show how to parametrize the distributed MRAC in cyclic and undirected graphs.

Original language	English
Pages (from-to)	1-6
Journal	IFAC-PapersOnLine
Volume	51
Issue number	23
DOIs	https://doi.org/10.1016/j.ifacol.2018.12.001
Publication status	Published - 2018
Event	7th IFAC Workshop on Distributed Estimation and Control in Networked Systems - Groningen, Netherlands Duration: 27 Aug 2018 → 28 Aug 2018

Keywords

adaptive control
Adaptive synchronization
heterogeneous uncertain agents

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10.1016/j.ifacol.2018.12.001

1-s2.0-S2405896318335328-mainFinal published version, 1.58 MB

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abstract = "Using a setting in which the input is communicated among neighbors (without exchanging any distributed observer variables), the problem of synchronizing an acyclic network of linear uncertain agents has been formulated recently as a distributed model reference adaptive control (MRAC) where each agent tries to converge to the model defined by its neighbors. In this work we show how to parametrize the distributed MRAC in cyclic and undirected graphs.",

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AB - Using a setting in which the input is communicated among neighbors (without exchanging any distributed observer variables), the problem of synchronizing an acyclic network of linear uncertain agents has been formulated recently as a distributed model reference adaptive control (MRAC) where each agent tries to converge to the model defined by its neighbors. In this work we show how to parametrize the distributed MRAC in cyclic and undirected graphs.

KW - adaptive control

KW - Adaptive synchronization

KW - heterogeneous uncertain agents

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ER -

Adaptive state-feedback synchronization with distributed input: The cyclic case

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Keywords

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