Performance assessment of MIMO systems under partial information

H. Xia, Pawel Majecki, A.W. Ordys, M.J. Grimble

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

Minimum variance (MV) can characterize the most fundamental performance limitation of a system, owing to the existence of time-delays/infinite zeros. It has been widely used as a benchmark to assess the regulatory performance of control loops. For a SISO system, this benchmark can be estimated given the information of the system time delay. In order to compute the MIMO MV benchmark, the interactor matrix associated with the plant may be needed. However, the computation of the interactor matrix requires the knowledge of Markov parameter matrices of the plant, which is rather demanding for assessment purposes only. In this paper, we propose an upper bound of the MIMO MV benchmark which can be computed with the knowledge of the interactor matrix order. If the time delays between the inputs and outputs are known, a lower bound of the MIMO MV benchmark can also be determined.
Original languageEnglish
Title of host publicationProceedings of the 2004 american control conference
Place of PublicationNew York
PublisherIEEE
Pages3568-3573
Number of pages6
ISBN (Print)0780383354
Publication statusPublished - Jun 2004
EventAmerican Control Conference 2004 - Boston, United States
Duration: 30 Jun 20042 Jul 2004

Publication series

NameProceedings of the American Control Conference
PublisherIEEE
ISSN (Print)0743-1619

Conference

ConferenceAmerican Control Conference 2004
Country/TerritoryUnited States
CityBoston
Period30/06/042/07/04

Keywords

  • performance assessment
  • mimo systems
  • partial information
  • minimum variance
  • mv
  • time delays
  • infinte zeros
  • siso system

Cite this