Title Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems
Authors MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL
External publication No
Means Int. J. Control
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 1
JCR Impact 2.78000
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027877406&doi=10.1080%2f00207179.2017.1365272&partnerID=40&md5=f9b61ff9e984c98b062dedb2fd09c81b
Publication date 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.
Keywords Distributed control; networked control; robust control; discrete time systems
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