Closed form expressions for linear MIMO system responses and solutions of the Lyapunov equation

Anna Soffía Hauksdóttir*, Sven Th Sigurosson, Sigurour Örn Aoalgeirsson, Gísli Herjólfsson

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this paper, closed form expressions of linear MIMO system responses are presented. These expressions make use of matrix polynomial formulations of etA. They depend on the eigenvalues of A, the characteristic polynomial of A, as well as the partial fraction expansion coefficients of the corresponding unity numerator transfer function. The general partial fraction coefficients may be calculated using a computationally efficient recursive formula that has been derived in the context of SISO system responses. The final expressions are presented in a form that enhances the understanding of linear systems as such and emphasizes efficient computational implementation and the resulting time complexity. Finally, a closed form solution of the Lypunov equation, the Gramian, is presented.

Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
Pages2797-2802
Number of pages6
DOIs
Publication statusPublished - 2007
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: 12 Dec 200714 Dec 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Conference

Conference46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA
Period12/12/0714/12/07

Other keywords

  • Gramian
  • Linear continuous time MIMO system responses
  • Lyapunov equation
  • Matrix exponential
  • Partial fraction expansion coefficients

Fingerprint

Dive into the research topics of 'Closed form expressions for linear MIMO system responses and solutions of the Lyapunov equation'. Together they form a unique fingerprint.

Cite this