Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Performance assessment of MIMO systems under partial information

Xia, H. and Majecki, Pawel and Ordys, A.W. and Grimble, M.J. (2004) Performance assessment of MIMO systems under partial information. In: Proceedings of the 2004 american control conference. Proceedings of the American Control Conference . IEEE, New York, pp. 3568-3573. ISBN 0780383354

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.

Item type: Book Section
ID code: 40396
Keywords: performance assessment, mimo systems, partial information, minimum variance, mv, time delays, infinte zeros, siso system, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 11 Jul 2012 14:50
    Last modified: 06 Sep 2014 08:31
    URI: http://strathprints.strath.ac.uk/id/eprint/40396

    Actions (login required)

    View Item