An Improved Multi-Agent Model-Free Adaptive Iterative Learning Consensus Control under Data Dropouts
Author:
Affiliation:
1. Big Data Academy,Zhong Ke,Zhengzhou,450000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858441.pdf?arnumber=9858441
Reference21 articles.
1. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
2. Distributed finite-time tracking control for multi-agent systems: An observer-based approach
3. Tensor-based cooperative control for large scale multi-intersection traffic signal using deep reinforcement learning and imitation learning;huo;ArXiv Preprint,2019
4. Trajectory-keeping in satellite formation flying via robust periodic learning control
5. Model free adaptive iterative learning consensus tracking control for a class of nonlinear multiagent systems;hui;IEEE Transactions on Systems Man and Cybernetics Systems,2019
Cited by 1 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. Encoding-Decoding Mechanism-Based Model-Free Adaptive Iterative Learning Control with Data Quantization and Data Dropouts;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
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