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Regret-Optimal Cross-Layer Co-Design in Networked Control Systems - Part II: Gauss-Markov Case
University of North Carolina at Charlotte, Department of Electrical and Computer Engineering, Charlotte, NC, USA, 28223.
ETH Zürich, Automatic Control Laboratory, Zürich, Switzerland, 8092.
ETH Zürich, Automatic Control Laboratory, Zürich, Switzerland, 8092.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-9940-5929
2023 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 27, no 11, p. 2879-2883Article in journal (Refereed) Published
Abstract [en]

In the first part of this two-letter series, we proposed a cross-layer framework for joint optimal Quality-of-Control (QoC) and Quality-of-Service (QoS) co-design for networked control systems. In this second part, we employ this framework to perform optimal co-design for networked control systems comprising multiple Gauss-Markov systems. We analytically derive the joint optimal policies based on the information couplings between the physical and the network layers. A numerical case study illustrates the framework.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. Vol. 27, no 11, p. 2879-2883
Keywords [en]
Gauss-Markov systems, networked control systems, quality-of-control, quality-of-service, regret-optimal co-design
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-349827DOI: 10.1109/LCOMM.2023.3312644ISI: 001107469600013Scopus ID: 2-s2.0-85171546367OAI: oai:DiVA.org:kth-349827DiVA, id: diva2:1881635
Note

QC 20240703

Available from: 2024-07-03 Created: 2024-07-03 Last updated: 2024-07-03Bibliographically approved

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Johansson, Karl H.

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