DocumentCode :
2098947
Title :
A convex programming approach to the multiobjective H2/H problem
Author :
Djouadi, Seddik M. ; Charalambous, C.D. ; Repperger, D.W.
Author_Institution :
Syst. Eng. Dept., Arkansas Univ., Little Rock, AR, USA
Volume :
6
fYear :
2002
fDate :
2002
Firstpage :
4315
Abstract :
In this paper, Banach space duality theory for the multiobjective H2/H problem developed recently by the authors, is used to develop algorithms to solve this problem by approximately reducing the dual and predual representations to finite variable convex optimizations. The Ellipsoid algorithm is then applied to these problems to obtain polynomial-time, nonheuristic programs which find "nearly" optimal control laws. These algorithms have been implemented numerically to compute an example.
Keywords :
Banach spaces; H control; H optimisation; convex programming; duality (mathematics); polynomial approximation; Banach space duality theory; Ellipsoid algorithm; convex programming approach; finite variable convex optimizations; multiobjective H2/H problem; nearly optimal control laws; numerical implementation; polynomial-time nonheuristic programs; Approximation methods; Ellipsoids; Hydrogen; Optimal control; Pareto analysis; Pareto optimization; Polynomials; Robustness; Transfer functions; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
ISSN :
0743-1619
Print_ISBN :
0-7803-7298-0
Type :
conf
DOI :
10.1109/ACC.2002.1025323
Filename :
1025323
Link To Document :
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