Título 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, 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 2.78000
Ámbito Internacional
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027877406&doi=10.1080%2f00207179.2017.1365272&partnerID=40&md5=f9b61ff9e984c98b062dedb2fd09c81b
Fecha de publicacion 04/03/2019
ISI 000465220400016
Scopus Id 2-s2.0-85027877406
DOI 10.1080/00207179.2017.1365272
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
Miembros de la Universidad Loyola

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