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Scheduling networked state estimators based on Value of Information
DENSO AUTOMOT Deutschland GmbH, Freisinger Str 21, D-85386 Eching, Germany..
DENSO AUTOMOT Deutschland GmbH, Freisinger Str 21, D-85386 Eching, Germany..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-9940-5929
2019 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 110, article id 108578Article in journal (Refereed) Published
Abstract [en]

This paper proposes a novel method for information management of a networked system for the purpose of efficient state estimation. Data shared between entities is transmitted over a common communication network. Based on the notion of Value of Information (Vol), we design a prioritizing scheduler in which systems determine the benefit of sharing their real-time data to improve state estimation accuracy. The system with the highest Vol is granted a time slot to provide its data. By using a rollout strategy, feasible algorithms are developed for computing the Vol-based priorities. For decoupled subsystems, performance certificates of the Vol-based strategy are derived. An automotive case study evaluates the proposed approach.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2019. Vol. 110, article id 108578
Keywords [en]
Networked control, Scheduling algorithms, Sensor fusion, State estimation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-264853DOI: 10.1016/j.automatica.2019.108578ISI: 000495491900015Scopus ID: 2-s2.0-85072564813OAI: oai:DiVA.org:kth-264853DiVA, id: diva2:1376964
Note

QC 20191210

Available from: 2019-12-10 Created: 2019-12-10 Last updated: 2019-12-10Bibliographically approved

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Johansson, Karl H.

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