Skip navigation
Skip navigation

A Newton-Like Method for Solving Rank Constrained Linear Matrix Inequalities

Orsi, Robert; Helmke, Uwe; Moore, John

Description

This paper presents a Newton-like algorithm for solving systems of rank constrained linear matrix inequalities. Though local quadratic convergence of the algorithm is not a priori guaranteed or observed in all cases, numerical experiments, including application to an output feedback stabilization problem, show the effectiveness of the algorithm.

CollectionsANU Research Publications
Date published: 2004
Type: Conference paper
URI: http://hdl.handle.net/1885/79612
Source: IEEE Conference on Decision and Control Proceedings 2004

Download

There are no files associated with this item.


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator