H2 optimal reduced models of general MIMO LTI systems via the cross Gramian on the Stiefel manifold

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

In this paper, the optimal H2 model order reduction (MOR) problem for general MIMO linear time-invariant (LTI) systems is studied. The cross Gramian can provide the controllability and observability information of LTI systems at the same time and it thus is used to discuss the MOR problem. We first deal with the general MIMO system, obtaining a set of SISO subsystems. Then, the cost function related to each SISO subsystem is expressed via the cross Gramian. The orthogonality constraint of the cost function makes it is posed on the Stiefel manifold. Then, making full use of the geometry properties of this Stiefel manifold, we propose a feasible and effective iterative algorithm to solve the H2 minimization problem. In addition, we show that our algorithm is rigorously convergent. Finally, a couple of examples related to MIMO LTI systems demonstrate the effectiveness of our algorithm.

Original languageEnglish
Pages (from-to)3210-3224
Number of pages15
JournalJournal of the Franklin Institute
Volume354
Issue number8
DOIs
StatePublished - May 2017

Fingerprint

Dive into the research topics of 'H2 optimal reduced models of general MIMO LTI systems via the cross Gramian on the Stiefel manifold'. Together they form a unique fingerprint.

Cite this