Formation control for multi-agent systems through an iterative learning design approach
type: Item
instance of: scholarly article
title: Formation control for multi-agent systems through an iterative learning design approach
zbMATH Open document ID: 1279.93010
author: Deyuan Meng
author: Yingmin Jia
published in: International Journal of Robust and Nonlinear Control
publication date: 2014-01-24T00:00:00Z
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 68T42
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93C41
zbMATH DE Number: 6249954
zbMATH Keywords: multi-agent systems
zbMATH Keywords: formation control
zbMATH Keywords: iterative learning control
zbMATH Keywords: robustness
zbMATH Keywords: monotonic convergence
zbMATH Keywords: linear matrix inequality
zbMATH Keywords: relative formations
zbMATH Keywords: model uncertainties
zbMATH Keywords: communication delays
zbMATH Keywords: convergence conditions
zbMATH Keywords: stochastic disturbances
zbMATH Keywords: uncertain multi-agent systems
MaRDI profile type: Publication
full work available at URL: rnc.2890
OpenAlex ID: W2171190384
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DOI: 10.1002/RNC.2890
description: scientific article; zbMATH DE number 6249954