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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

Cuartil SJR

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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