Título Distributed Estimation and Control Systems over Communication Networks
Autores Rubio, Francisco R. , MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Vivas, Carlos
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 4
Cuartil SJR 3
Impacto JCR 0.318
Impacto SJR 0.246
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908220911&doi=10.1016%2fj.riai.2014.08.001&partnerID=40&md5=2db4ef90840da8cfd92ce190ae52eb61
Fecha de publicacion 01/11/2014
ISI 000346398100002
Scopus Id 2-s2.0-84908220911
DOI 10.1016/j.riai.2014.08.001
Abstract This paper\'s aim is to present a novel design technique for distributed control and estimation in networked systems. The proposed problem considers a large scale, discrete LTI 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, including energy efficiency in these communications. The objective is to provide a fully distributed estimation&control scheme that stabilizes the plant while the upper bound of a given quadratic performance index is minimized. The paper analyzes two different sampling schemes, periodic and event-driven, providing stability proofs based on Lyapunov theory and design methods in terms of LMIs. Experimental results on a four couple tanks system are provided to show the performance of the proposed methodologies.
Palabras clave Networked Control System; Distributed Estimation; Distributed Control
Miembros de la Universidad Loyola

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