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Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems

Autores

MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL

Publicación externa

No

Medio

Int. J. Control

Alcance

Article

Naturaleza

Científica

Cuartil JCR

2

Cuartil SJR

1

Impacto JCR

2.78

Impacto SJR

1.09

Fecha de publicacion

04/03/2019

ISI

000465220400016

Scopus Id

2-s2.0-85027877406

Abstract

A new technique for distributed estimation and control of large-scale systems is presented in this paper. The proposed method makes use of a set of agents that implement local H-infinity controllers and Luenberger-like observers, improved with consensus-based corrections that incorporate information received from other agents. The communication between agents is assumed to be unreliable, this is modelled by time-varying delays and packet dropouts. The proposed methodology is an application for a class of nonlinear system affected by external disturbances. Some simulations are presented to illustrate the performance of this technique compared to the centralised case.

Palabras clave

Distributed control; networked control; robust control; discrete time systems

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