Título Distributed Control and Estimation Scheme With Applications to Process Control
Autores ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, Vivas, Carlos , Rubio, Francisco R.
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Impacto JCR 2.81800
Impacto SJR 1.96600
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027932058&doi=10.1109%2fTCST.2014.2364120&partnerID=40&md5=601f3b51eafed3bdeca9956a335b0934
Fecha de publicacion 01/07/2015
ISI 356523600025
Scopus Id 2-s2.0-85027932058
DOI 10.1109/TCST.2014.2364120
Abstract This brief proposes an innovative estimation and control scheme that enables the distributed monitoring and control of large-scale processes. The proposed approach considers a discrete linear time-invariant process controlled by a network of agents that may both, collect information about the evolution of the plant, and apply control actions to drive its behavior. The problem makes full sense when local observability/controllability is not assumed and the communication between agents can be exploited to reach system-wide goals. The design procedure guarantees system stability, allowing the designer to tradeoff performance and control effort. The obtained controllers and observers are implemented in a fully distributed fashion. To show the performance of the proposed technique, simulation results on a water delivery system are provided.
Palabras clave Distributed estimation and control; large-scale plants; sensor networks (SNs)
Miembros de la Universidad Loyola

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