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Proceedings of the 44th IEEE Conference on Decision and Control
DOI: 10.1109/cdc.2005.1583440
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Optimal Multivariable Control for Wind Energy Conversion System - A comparison between H>inf<2>/inf<and H>inf<∞>/inf<controllers

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Cited by 15 publications
(1 citation statement)
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“…Various solutions have been presented in literature. Most of them are based on linearization along trajectories or equilibria and application of advanced gain scheduling approaches; H 2 , H ∞ techniques are wisely applied to shape performances and robustness to some model uncertainties Bianchi et al [2005], Rocha et al [2005], Sloth et al [2009], Differently, in Bottasso et al [2007] a receding horizon nonlinear adaptive model predictive controller is proposed to enhance performance under large wind gusts and extreme off-design conditions. A different scenario takes place when medium power turbines are considered.…”
Section: Introductionmentioning
confidence: 99%
“…Various solutions have been presented in literature. Most of them are based on linearization along trajectories or equilibria and application of advanced gain scheduling approaches; H 2 , H ∞ techniques are wisely applied to shape performances and robustness to some model uncertainties Bianchi et al [2005], Rocha et al [2005], Sloth et al [2009], Differently, in Bottasso et al [2007] a receding horizon nonlinear adaptive model predictive controller is proposed to enhance performance under large wind gusts and extreme off-design conditions. A different scenario takes place when medium power turbines are considered.…”
Section: Introductionmentioning
confidence: 99%