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H2 and/or H∞-norm model reduction of uncertain discrete-time systems

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2 Author(s)
Assuncao, E. ; Paulista State Univ., Brazil ; Peres, P.L.D.

This paper addresses the problem of model reduction for uncertain discrete-time systems with convex bounded (polytope type) uncertainty. A reduced order precisely known model is obtained in such a way that the H 2 and/or the H∞ guaranteed norm of the error between the original (uncertain) system and the reduced one is minimized. The optimization problems are formulated in terms of coupled (nonconvex) linear matrix inequalities, being solved through iterative algorithms. Examples illustrate the results

Published in:
American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference: 1999

Page(s):
4466 - 4470 vol.6
Meeting Date :
02 Jun 1999-04 Jun 1999
ISSN :
0743-1619
Print ISBN:
0-7803-4990-3
INSPEC Accession Number:
6403165
Conference Location :
San Diego, CA
Digital Object Identifier :
10.1109/ACC.1999.786428
Product Type:
Conference Publications

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