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Distributed estimation in networked systems under periodic and event-based communication policies
Ist Teil von
International journal of systems science, 2015-01, Vol.46 (1), p.139-151
Ort / Verlag
Taylor & Francis
Erscheinungsjahr
2015
Quelle
Taylor & Francis
Beschreibungen/Notizen
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.