Coordination control of multi-agent systems with second-order nonlinear dynamics using fully distributed adaptive iterative learning
type: Item
instance of: scholarly article
title: Coordination control of multi-agent systems with second-order nonlinear dynamics using fully distributed adaptive iterative learning
zbMATH Open document ID: 1395.93017
author: Jinsha Li
author: Junmin Li
published in: Journal of the Franklin Institute
publication date: 2018-08-16T00:00:00Z
Mathematics Subject Classification ID: 93A13
Mathematics Subject Classification ID: 93E35
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T42
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6918908
zbMATH Keywords: coordination control
zbMATH Keywords: multi-agent systems
zbMATH Keywords: second-order nonlinear dynamics
zbMATH Keywords: adaptive iterative learning
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2015.03.025
OpenAlex ID: W2035904412
cites work: Consensus of Multi-Agent Systems in Directed Networks With Nonuniform Time-Varying Delays
cites work: Consensus in multi-agent systems with communication constraints
cites work: Average consensus in networks of dynamic agents with switching topologies and multiple time-varying delays
cites work: Tracking control for multi-agent consensus with an active leader and variable topology
cites work: Coordination of groups of mobile autonomous agents using nearest neighbor rules
cites work: On Consensus Algorithms for Double-Integrator Dynamics
cites work: Cooperative adaptive control for synchronization of second-order systems with unknown nonlinearities
cites work: Consensus for multi-agent systems with inherent nonlinear dynamics under directed topologies
cites work: Distributed leader-following consensus for second-order multi-agent systems with nonlinear inherent dynamics
cites work: Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics
cites work: Tracking control over a finite interval for multi-agent systems with a time-varying reference trajectory
cites work: Iterative learning approaches to design finite-time consensus protocols for multi-agent systems
cites work: An iterative learning approach to formation control of multi-agent systems
cites work: Formation control for multi-agent systems through an iterative learning design approach
cites work: Adaptive iterative learning control for coordination of second-order multi-agent systems
cites work: A Barbalat-Like Lemma with Its Application to Learning Control
DOI: 10.1016/J.JFRANKLIN.2015.03.025
description: scientific article; zbMATH DE number 6918908