Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems

被引：0

作者：

Verhoek, Chris ^{[1
]}

Berberich, Julian ^{[2
]}

Haesaert, Sofie ^{[1
]}

Allgoewer, Frank ^{[2
]}

Toth, Roland ^{[1
,3
]}

机构：

[1] Eindhoven Univ Technol, Control Syst Grp, NL-5600 MB Eindhoven, Netherlands

[2] Univ Stuttgart, Inst Syst Theory & Automatic Control, D-70569 Stuttgart, Germany

[3] Inst Comp Sci & Control, H-1111 Budapest, Hungary

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2024年 / 69卷 / 12期

基金：

欧洲研究理事会;

关键词：

data-driven control; dissipativity analysis; Behavioral systems; linear parameter-varying (LPV) sys tems; DYNAMICAL-SYSTEMS; INPUT-OUTPUT; VERIFICATION; LMIS;

D O I：

10.1109/TAC.2024.3417855

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

this article, we derive direct data-driven dissipativity analysis methods for linear parameter-varying (LPV) systems using a single sequence of input- scheduling-output data. By means of constructing a semidefinite program subject to linear matrix inequality constraints based on this data-dictionary, direct data- driven verification of ( Q, S, R )-type of dissipativity properties of the data-generating LPV system is achieved. Multiple implementation methods are proposed to achieve efficient computational properties and to even exploit structural information on the scheduling, e.g., rate bounds. The effectiveness and tradeoffs of the proposed methodologies are shown in simulation studies of academic and physically realistic examples.

引用

页码：8603 / 8616

页数：14

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