Archivio Istituzionale della RicercaIn this paper, we study randomized algorithms for reduced order H ∞ controller design. First, full-order optimal H∞ controllers are randomly generated using a finite dimensional parameterization of all γ-optimal controllers and a uniform matrix sample generation algorithm. Then, the minimum closed loop performance achieved using standard model order reduction techniques is estimated in probability. The results are illustrated on a F-8 aircraft controller design example
Randomized Algorithms for Reduced Order Hinfinity Controller Design / Calafiore, Giuseppe Carlo; Dabbene, F; Tempo, R.. - STAMPA. - 6:(2000), pp. 3837-3839. (Intervento presentato al convegno American Control Conference tenutosi a Chicago, IL nel 28-30 Jun 2000) [10.1109/ACC.2000.876940].
Randomized Algorithms for Reduced Order Hinfinity Controller Design
CALAFIORE, Giuseppe Carlo;
2000
Abstract
In this paper, we study randomized algorithms for reduced order H ∞ controller design. First, full-order optimal H∞ controllers are randomly generated using a finite dimensional parameterization of all γ-optimal controllers and a uniform matrix sample generation algorithm. Then, the minimum closed loop performance achieved using standard model order reduction techniques is estimated in probability. The results are illustrated on a F-8 aircraft controller design example
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https://hdl.handle.net/11583/1408966
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