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International Journal of Robust and Nonlinear Control
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2022
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Gain‐scheduled robust control for multi‐agent linear parameter‐varying systems with communication delays

Gain-scheduled robust control for multi-agent linear parameter-varying systems with communication delays
Authors: Yangzhou Chen; Xiaolong Huang; Jingyuan Zhan;

Gain‐scheduled robust control for multi‐agent linear parameter‐varying systems with communication delays

Abstract

AbstractThis study deals with the problem of gain‐scheduled robust control for multi‐agent linear parameter varying (LPV) systems with or without communication delays. The system matrices are assumed to depend on the scheduling parameters, which are supposed to be time‐varying within a priori known bounds. First, a linear transformation matrix is constructed from the directed spanning tree of the communication topology of the agents, which equivalently transforms the robust consensus control problem of multi‐agent LPV systems into the robust stability problem of a set of parameter‐dependent systems. What's more, the effect of the time‐varying communication delays is considered, and consensus condition in terms of linear matrix inequalities (LMIs) is derived by using the parameter‐dependent Lyapunov–Krasovskii approach. Then, the control gain matrices are obtained through solving a convex optimization problem. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

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Keywords

linear parameter-varying system, Linear systems in control theory, communication delay, consensus, Multi-agent systems, gain-scheduled robust control, Delay control/observation systems, Sensitivity (robustness), multi-agent systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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