Vargas, Andras and Parrilo, Pablo (2002) Fast algorithms for solving H∞-norm minimization problems. In: Proceedings of the 40th IEEE Conference on Decision and Control, December 4-7, 2001, Hyatt Regency Grand Cypress, Orlando, Florida, USA. IEEE , Los Alamitos, CA, pp. 261-266. ISBN 0-7803-7061-9 http://resolver.caltech.edu/CaltechAUTHORS:VARcdc01
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:VARcdc01
We propose an efficient computational approach to minimize the H ∞-norm of a transfer-function matrix depending affinely on a set of free parameters. The minimization problem, formulated as a semi-infinite convex programming problem, is solved via a relaxation approach over a finite set of frequency values. In this way, a significant speed up is achieved by avoiding the solution of high order LMIs resulting by equivalently formulating the minimization problem as a high dimensional semidefinite programming problem. Numerical results illustrate the superiority of proposed approach over LMIs based techniques in solving zero order H∞-norm approximation problems.
|Item Type:||Book Section|
|Additional Information:||© Copyright 2001 IEEE. Reprinted with permission.|
|Subject Keywords:||H∞-optimisation; continuous time systems; convex programming linear systems; state-space methods; transfer function matrices|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Archive Administrator|
|Deposited On:||06 Sep 2006|
|Last Modified:||26 Dec 2012 09:01|
Repository Staff Only: item control page