Tracking Synchronization of Coupled Non-identical Neural Networks Via Iterative Learning Control
Author:
Affiliation:
1. Zhengzhou University of Light Idustry,Dept. Electron. Inform. Eng.,Zhengzhou,China
2. Zhengzhou University of Light Idustry,Dept. Chem. and Mol. Eng.,Zhengzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9926748/9926742/09926852.pdf?arnumber=9926852
Reference35 articles.
1. Finite time asymmetric bipartite consensus for multi‐agent systems based on iterative learning control
2. On Iterative Learning From Different Tracking Tasks in the Presence of Time-Varying Uncertainties
3. Iterative learning control-based tracking synchronization for linearly coupled reaction-diffusion neural networks with time delay and iteration-varying switching topology
4. Synchronizing non-identical time-varying delayed neural network systems via iterative learning control
5. Transient bipartite synchronization for cooperative-antagonistic multi agent systems with switching topologies;wu;IEEE Trans Cybern 2021,0
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