Collective point-to-point iterative learning control of multi-agent system with switched reference

DOI10.1016/j.jfranklin.2023.07.033zbMath1525.93100OpenAlexW4385235107MaRDI QIDQ6061056

Jianyong Tuo, Youqing Wang, Xingding Zhao

Publication date: 30 October 2023

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2023.07.033

zbMATH Keywords

iterative learning controlmulti-agent controlpoint-to-point tracking

Mathematics Subject Classification ID

Multi-agent systems (93A16) Iterative learning control (93B47)

Cites Work

• Optimality and flexibility in iterative learning control for varying tasks
• Iterative learning control with input sharing for multi-agent consensus tracking
• Linear computational complexity robust ILC for lifted systems
• An iterative learning approach to formation control of multi-agent systems
• Iterative learning control in optimal tracking problems with specified data points
• Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems
• Distributed point-to-point iterative learning control for multi-agent systems with quantization
• Impulsive average-consensus of multi-agent systems with time-delays
• Probability-guaranteed secure consensus control for time-varying stochastic multi-agent systems under mixed attacks
• Robust cooperative learning control for directed networks with nonlinear dynamics
• Event‐Triggered Iterative Learning Control for Multi‐Agent Systems with Quantization
• Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
• Consensus control for a class of networks of dynamic agents

This page was built for publication: Collective point-to-point iterative learning control of multi-agent system with switched reference