A decentralized consistent policy for event-triggered control over a shared contention: based network

M. Hadi I. Balaghi, Duarte J. Antunes, Mohammad H. Mamduhi, Sandra Hirche

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1 Citaat (Scopus)
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Samenvatting

We consider a network of several independent linear systems controlled over a shared communication network. Data transmissions pertaining to each control loop are arbitrated by a scheduler collocated with the plant's sensors that transmits the state information to the corresponding remote controller collocated with the plant's actuators. The shared communication channel is assumed to be operating based on a contention-based protocol, endowing the networked control system with desirable reconfigurable and scalable features. We propose a class of scheduling policies which admit a decentralized optimal control implementation and an event-triggered policy within this class which is shown to be consistent, i.e. it results in a better control performance for any linear system, measured by an average quadratic cost than its non-event-based counterpart.

Originele taal-2Engels
Titel2018 IEEE Conference on Decision and Control, CDC 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1719-1724
Aantal pagina's6
ISBN van elektronische versie978-1-5386-1395-5
ISBN van geprinte versie978-1-5386-1396-2
DOI's
StatusGepubliceerd - 18 jan 2019
Evenement57th IEEE Conference on Decision and Control, (CDC2018) - Miami, Verenigde Staten van Amerika
Duur: 17 dec 201819 dec 2018
Congresnummer: 57

Congres

Congres57th IEEE Conference on Decision and Control, (CDC2018)
Verkorte titelCDC 2018
LandVerenigde Staten van Amerika
StadMiami
Periode17/12/1819/12/18

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Citeer dit

Balaghi, M. H. I., Antunes, D. J., Mamduhi, M. H., & Hirche, S. (2019). A decentralized consistent policy for event-triggered control over a shared contention: based network. In 2018 IEEE Conference on Decision and Control, CDC 2018 (blz. 1719-1724). [8619584] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2018.8619584