Title Distributed Estimation and Control Systems over Communication Networks
Authors Rubio, Francisco R., MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Vivas, Carlos, MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS
External publication No
Means Rev. Iberoam. Autom. Inform. Ind.
Scope Article
Nature Científica
JCR Quartile 4
SJR Quartile 3
JCR Impact 0.31800
SJR Impact 0.24600
Area International
Publication date 01/10/2014
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.
Keywords Networked Control System; Distributed Estimation; Distributed Control
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