Iterative Learning Control for Nonlinear Uncertain Parameterized Multi-Agent Systems With Non-Identical Partially Unknown Control Directions-Reference-Cited by-同舟云学术

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Iterative Learning Control for Nonlinear Uncertain Parameterized Multi-Agent Systems With Non-Identical Partially Unknown Control Directions

Published:2024-07 Issue:4 Volume:11 Page:3358-3369
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Chen Jiaxi¹^ORCID,Li Junmin¹^ORCID,Chen Weisheng²^ORCID,Zhang Shuai³^ORCID,Zhang Junlin⁴

Affiliation:

1. School of Mathematics and Statistics, Xidian University, Xi'an, China

2. School of Aerospace Science and Technology, Xidian University, Xi'an, China

3. Science and Technology on Antennas and Microwave Laboratory, Xidian University, Xi'an, China

4. State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Basic Research Program of Shaanxi

Shaanxi Province Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10554364/10452844.pdf?arnumber=10452844

Reference36 articles.

1. Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems With Heterogeneous Nonlinear Dynamics

2. Human-in-the-loop fuzzy iterative learning control of consensus for unknown mixed-order nonlinear multi-agent systems

3. Dynamical consensus seeking of heterogeneous multi-agent systems under input delays

4. Global Fuzzy Adaptive Consensus Control of Unknown Nonlinear Multiagent Systems

5. Novel Type of Phase Transition in a System of Self-Driven Particles

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1. Iterative learning resilient consensus of uncertain nonlinear multi-agent systems vulnerable to false data injection attacks;International Journal of Systems Science;2024-08-08

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