LMI Relaxations for Reduced-Order Robust Control of Continuous-Time Uncertain Linear Systems
This technical note is concerned with the problem of reduced order robust H ∞ dynamic output feedback control design for uncertain continuous-time linear systems. The uncertain time-invariant parameters belong to a polytopic domain and affect all the system matrices. The search for a reduced-order c...
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Veröffentlicht in: | IEEE transactions on automatic control 2012-06, Vol.57 (6), p.1532-1537 |
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Sprache: | eng |
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Zusammenfassung: | This technical note is concerned with the problem of reduced order robust H ∞ dynamic output feedback control design for uncertain continuous-time linear systems. The uncertain time-invariant parameters belong to a polytopic domain and affect all the system matrices. The search for a reduced-order controller is converted in a problem of static output feedback control design for an augmented system. To solve the problem, a two-stage linear matrix inequality (LMI) procedure is proposed. At the first step, a stabilizing state feedback scheduled controller with polynomial or rational dependence on the parameters is determined. This parameter-dependent state feedback controller is used at the second stage, which synthesizes the robust (parameter-independent) output feedback H ∞ dynamic controller. A homogeneous polynomially parameter-dependent Lyapunov function of arbitrary degree is used to assess closed-loop stability with a prescribed H ∞ attenuation level. As illustrated by numerical examples, the proposed method provides better results than other LMI based conditions from the literature. |
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ISSN: | 0018-9286 1558-2523 |
DOI: | 10.1109/TAC.2011.2174693 |