LQ-power Consistent Control: Leveraging Transmission Power Selection in Control Systems

Mohammadhadi Balaghiinaloo, Duarte J. Antunes, Vineeth S. Varma, Romain Postoyan, Maurice Heemels

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

6 Citations (Scopus)

Abstract

We consider a linear control system, where the sensors communicate to the controller via a wireless network in which the probability of successful data transmissions is an increasing function of the selected radio signal power. We tackle the problem of jointly selecting the transmission power at every transmission time as a function of the state, much like in event-triggered control systems, and of designing a controller in order to minimize an average quadratic cost. Our proposed power scheduler and corresponding control policy are shown to outperform the optimal control policy when the radio signal power is constant at all times, while using at most the same average transmission power. For this result to hold, the function relating the transmission power to the probability of successful transmission must be convex in the region of interest. We call such a policy LQ-power consistent.

Original languageEnglish
Title of host publicationEuropean Control Conference 2020, ECC 2020
PublisherInstitute of Electrical and Electronics Engineers
Pages1701-1706
Number of pages6
ISBN (Electronic)9783907144015
Publication statusPublished - 20 Jul 2020
Event2020 European Control Conference, ECC 2020 - Saint Petersburg, Russian Federation
Duration: 12 May 202015 May 2020

Conference

Conference2020 European Control Conference, ECC 2020
Abbreviated titleECC 2020
Country/TerritoryRussian Federation
CitySaint Petersburg
Period12/05/2015/05/20

Funding

This project was funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement No 674875 (oCPS).

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme674875

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