A Reduction in Conservatism for Convex Linear-Quadratic Simultaneous Performance Design

Authors

Chaouki T. Abdallah
Robert A. Luke
Peter Dorato

Document Type

Article

Publication Date

4-12-2012

Abstract

In this paper a fixed state feedback control law which minimizes upper bounds on linear-quadratic performance measures for m distinct plants is studied. Previous work [8] by the authors demonstrated a convex semidefinite programming solution thereby guaranteeing global optimality. The present work extends that result by proposing an algorithm which reduces the conservatism of the minimum guaranteed-cost upper bounds for each of the m performance measures.

Language (ISO)

English

Sponsorship

NASA University Research Centers

Keywords

simultaneous stabilization, simultaneous control, semidefinite programming, state feedback control, linear matrix inequalities

Recommended Citation

Abdallah, Chaouki T.; Robert A. Luke; and Peter Dorato. "A Reduction in Conservatism for Convex Linear-Quadratic Simultaneous Performance Design." (2012). https://digitalrepository.unm.edu/ece_fsp/113

Comments

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