Consensus Tracking Via Iterative Learning Control for Singular Fractional-Order Multi-Agent Systems Under Iteration-Varying Topologies and Initial State Errors

Consensus Tracking Via Iterative Learning Control for Singular Fractional-Order Multi-Agent Systems Under Iteration-Varying Topologies and Initial State Errors

This paper investigates the leader-following consensus tracking problems via iterative learning control for singular fraction-order multi-agent systems in the presence of iteration-varying switching topologies and initial state errors. First, in order to eliminate the impulsive effect of singular sy...

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Bibliographic Details
Main Authors: Jingjing Wang, Jiaquan Zhou, Yajing Mo, Linxin Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Iterative learning control
fractional-order
singular multi-agent systems
iteration-varying graphs
initial state errors
Online Access:https://ieeexplore.ieee.org/document/9195864/

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