Título Distributed Control and Estimation Scheme With Applications to Process Control
Autores ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, Vivas, Carlos, Rubio, Francisco R., MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS
Publicación externa No
Medio IEEE Trans. Control Syst. Technol.
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Impacto JCR 2.81800
Impacto SJR 1.96600
Ámbito Internacional
Fecha de publicacion 01/07/2015
ISI 000356523600025
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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