Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation-Reference-Cited by-同舟云学术

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Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation

Published:2024-02 Issue:3 Volume:361 Page:1620-1630
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhang Ting^ORCID,Li Junmin^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Consensus of discrete-time multi-agent systems over packet dropouts channels;Chen;J. Franklin Inst.,2021

2. Distributed fuzzy adaptive consensus for high-order multi-agent systems with an imprecise communication topology structure;Chen;Fuzzy Sets and Systems,2021

3. Consensus of hybrid multi-agent systems;Zheng;IEEE Trans. Neural Netw. Learn. Syst.,2018

4. Data-driven consensus for non-linear networked multi-agent systems with switching topology and time-varying delays;Li;IET Control Theory Appl.,2018

5. Output-feedback distributed consensus for nonlinear multi-agent systems with quantization;Zhang;Info. Sci.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed adaptive iterative learning control for 2D multi agent systems;Electronics Letters;2024-07

2. Novel quantized iterative learning control based on spherical polar coordinates;International Journal of Robust and Nonlinear Control;2024-05-22

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