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Autores principales: Rösinger, Christian A., Scherer, Carsten W.
Formato: Preprint
Publicado: 2020
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Acceso en línea:https://arxiv.org/abs/2001.05740
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author Rösinger, Christian A.
Scherer, Carsten W.
author_facet Rösinger, Christian A.
Scherer, Carsten W.
contents We focus on the $\mathcal{H}_2$-gain-scheduling synthesis problem for time-varying parametric scheduling blocks with scalings. Recently, we have presented a solution of this problem for $D$- and positive real scalings by guaranteeing finiteness of the $\mathcal{H}_2$-norm for the closed-loop system with suitable linear fractional plant and controller representations. In order to reduce conservatism, we extend these methods to full block scalings by designing a triangular scheduling function and by introducing a new lifting technique for gain-scheduled synthesis that enables convexification.
format Preprint
id arxiv_https___arxiv_org_abs_2001_05740
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Lifting to Passivity for $\mathcal{H}_2$-Gain-Scheduling Synthesis with Full Block Scalings
Rösinger, Christian A.
Scherer, Carsten W.
Optimization and Control
We focus on the $\mathcal{H}_2$-gain-scheduling synthesis problem for time-varying parametric scheduling blocks with scalings. Recently, we have presented a solution of this problem for $D$- and positive real scalings by guaranteeing finiteness of the $\mathcal{H}_2$-norm for the closed-loop system with suitable linear fractional plant and controller representations. In order to reduce conservatism, we extend these methods to full block scalings by designing a triangular scheduling function and by introducing a new lifting technique for gain-scheduled synthesis that enables convexification.
title Lifting to Passivity for $\mathcal{H}_2$-Gain-Scheduling Synthesis with Full Block Scalings
topic Optimization and Control
url https://arxiv.org/abs/2001.05740