Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems

被引：0

作者：

Rotondo, Damiano ^{[1
]}

Ponsart, Jean-Christophe ^{[2
]}

Theilliol, Didier ^{[2
]}

机构：

[1] Department of Electrical and Computer Engineering, University of Stavanger, Stavanger, Norway

[2] University of Lorraine, CRAN, UMR 7039, Campus Sciences, B.P.70239, Vandoeuvre-les-Nancy Cedex,54506, France

来源：

Automatica | 2022年 / 135卷

关键词：

Multi agent systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper investigates the gain-scheduled observer-based consensus of linear parameter varying (LPV) multi-agent systems (MASs). The main contribution of the paper is that, differently from LPV observer-based consensus design methods previously reported in the literature, the controller and observer gains are allowed to be functions of some time-varying parameter vector, which can be measured in real-time. It is shown that, under the assumption of synchronized varying parameter trajectories, the design conditions can be described as a feasibility problem involving a finite number of linear matrix inequalities (LMIs). The obtained results are illustrated by means of a numerical example. © 2021 The Author(s)

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