Title Distributed estimation in networked systems under periodic and event-based communication policies
Authors MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL, Vivas, Carlos , Rubio, Francisco R.
External publication No
Means Int J Syst Sci
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 2
JCR Impact 1.57900
SJR Impact 0.75800
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908055693&doi=10.1080%2f00207721.2013.775387&partnerID=40&md5=5c2f50656a4880651934e7ded1f3b0a1
Publication date 07/03/2013
ISI 000344245000010
Scopus Id 2-s2.0-84908055693
DOI 10.1080/00207721.2013.775387
Abstract This paper\'s aim is to present a novel design technique for distributed estimation in networked systems. The problem assumes a network of interconnected agents each one having partial access to measurements from a linear plant and broadcasting their estimations to their neighbours. The objective is to reach a reliable estimation of the plant state from every agent location. The observer\'s structure implemented in each agent is based on local Luenberger-like observers in combination with consensus strategies. The paper focuses on the following network related issues: delays, packet dropouts and communication policy (time and event-driven). The design problem is solved via linear matrix inequalities and stability proofs are provided. The technique is of application for sensor networks and large scale systems where centralized estimation schemes are not advisable and energy-aware implementations are of interest. Simulation examples are provided to show the performance of the proposed methodologies.
Keywords event-based sampling; packet dropouts; network-induced delays; sensor networks; distributed estimation
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