Event-Triggered Stochastic Control via Constrained Quantization

Hikmet Yildiz, Yu Su, Anatoly Khina, Babak Hassibi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider a discrete-time linear quadratic Gaussian networked control setting where the (full information) observer and controller are separated by a fixed-rate noiseless channel. We study the event-triggered control setup in which the encoder may choose to either transmit a packet or remain silent. We recast this problem into that of fixed-rate quantization with an extra symbol that corresponds to the silence event. This way, controlling the average transmission rate is possible by constraining the minimal probability of the silence symbol. We supplement our theoretical framework with numerical simulations.

Original languageEnglish
Title of host publicationProceedings - DCC 2019
Subtitle of host publication2019 Data Compression Conference
EditorsJoan Serra-Sagrista, James A. Storer, Michael W. Marcellin, Ali Bilgin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages612
Number of pages1
ISBN (Electronic)9781728106571
DOIs
StatePublished - 10 May 2019
Event2019 Data Compression Conference, DCC 2019 - Snowbird, United States
Duration: 26 Mar 201929 Mar 2019

Publication series

NameData Compression Conference Proceedings
Volume2019-March
ISSN (Print)1068-0314

Conference

Conference2019 Data Compression Conference, DCC 2019
Country/TerritoryUnited States
CitySnowbird
Period26/03/1929/03/19

Keywords

  • Event triggered control
  • Linear quadratic Gaussian control
  • Networked control
  • Quantization

Fingerprint

Dive into the research topics of 'Event-Triggered Stochastic Control via Constrained Quantization'. Together they form a unique fingerprint.

Cite this