Global optimization approach for the H2-norm model reduction problem

Assuncao, Edvaldo; Peres, Pedro L D

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/65951

Title:

Global optimization approach for the H2-norm model reduction problem

Author(s):

Institution:

Universidade Estadual Paulista (UNESP)

ISSN:

0191-2216

Abstract:

A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds used in the optimization procedure are obtained through Linear Matrix Inequalities formulations. Examples illustrate the results.

Issue Date:

1-Dec-1999

Citation:

Proceedings of the IEEE Conference on Decision and Control, v. 2, p. 1857-1862.

Time Duration:

1857-1862

Keywords:

Algorithms
Control system synthesis
Linear systems
Mathematical models
Matrix algebra
Optimization
Polynomials
State space methods
Continuous time linear systems
Linear matrix inequalities
Optimal control systems

Source:

http://dx.doi.org/10.1109/CDC.1999.830904

URI:

Access Rights:

Acesso restrito

Type:

outro

Source:

http://repositorio.unesp.br/handle/11449/65951

Artigos, TCCs, Teses e Dissertações da Unesp

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