Controllability of linear ensemble systems with constant drift and linear parameter variation

Lin Tie, Wei Zhang, Jr Shin Li

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

Abstract

Control of population systems is an indispensable task in many cutting-edge applications from nuclear magnetic resonance spectroscopy and imaging to deep brain stimulation for treatment of neurological disorders. Characterizing the fundamental limit of the ability to control such large-scale systems is critical towards the understanding of their functionality and dynamical structures. In this paper, we study controllability of time-invariant linear ensemble systems whose natural and control dynamics form a linear variety of the system parameter. We derive explicit controllability conditions in terms of the rank of the system and control matrices, and show that ensemble controllability is highly dependent on the spectrum structure of the parameter-dependent system matrix.

Original languageEnglish
Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1129-1134
Number of pages6
ISBN (Electronic)9781509021826
DOIs
StatePublished - Oct 6 2017
Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
Duration: Aug 27 2017Aug 30 2017

Publication series

Name1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Volume2017-January

Conference

Conference1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Country/TerritoryUnited States
CityKohala Coast
Period08/27/1708/30/17

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