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

Orsi, Robert; Helmke, Uwe; Moore, John


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
Source: IEEE Conference on Decision and Control Proceedings 2004


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