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Bibliographic Details
Main Authors: Rösinger, Christian A., Scherer, Carsten W.
Format: Preprint
Published: 2022
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Online Access:https://arxiv.org/abs/2210.03712
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author Rösinger, Christian A.
Scherer, Carsten W.
author_facet Rösinger, Christian A.
Scherer, Carsten W.
contents This work presents a framework to synthesize structured gain-scheduled controllers for structured plants whose dynamics change according to time-varying scheduling parameters. Both the system and the controller are assumed to admit descriptions in terms of a linear time-invariant system in feedback with so-called scheduling blocks, which collect all scheduling parameters into a static system. We show that such linear fractional representations permit to exploit a so-called lifting technique in order to handle several structured gain-scheduling design problems. These could arise from a nested inner and outer loop control configuration with partial or full dependence on the scheduling variables. Our design conditions are formulated in terms of convex linear matrix inequalities and permit to handle multiple performance objectives.
format Preprint
id arxiv_https___arxiv_org_abs_2210_03712
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Gain-Scheduling Controller Synthesis for Nested Systems with Full Block Scalings
Rösinger, Christian A.
Scherer, Carsten W.
Optimization and Control
This work presents a framework to synthesize structured gain-scheduled controllers for structured plants whose dynamics change according to time-varying scheduling parameters. Both the system and the controller are assumed to admit descriptions in terms of a linear time-invariant system in feedback with so-called scheduling blocks, which collect all scheduling parameters into a static system. We show that such linear fractional representations permit to exploit a so-called lifting technique in order to handle several structured gain-scheduling design problems. These could arise from a nested inner and outer loop control configuration with partial or full dependence on the scheduling variables. Our design conditions are formulated in terms of convex linear matrix inequalities and permit to handle multiple performance objectives.
title Gain-Scheduling Controller Synthesis for Nested Systems with Full Block Scalings
topic Optimization and Control
url https://arxiv.org/abs/2210.03712