Lifting to Passivity for H2-Gain-Scheduling Synthesis with Full Block Scalings

被引:1
|
作者
Roesinger, Christian A. [1 ]
Scherer, Carsten W. [1 ]
机构
[1] Univ Stuttgart, Dept Math, Stuttgart, Germany
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Linear parameter-varying systems; Controller constraints and structure; Convex optimization; CONTROLLER SYNTHESIS; GAIN; SYSTEMS;
D O I
10.1016/j.ifacol.2020.12.570
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We focus on the 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 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. Copyright (C) 2020 The Authors.
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页码:7292 / 7298
页数:7
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