Observer-Based Synchronization and Quasi-Synchronization for Multiple Neural Networks with Time-Varying Delays

In this paper, we study the synchronization of a class of multiple neural networks (MNNs) with delay and directed disconnected switching topology based on state observer via impulsive coupling control. The coupling topology is connected sequentially, and the controller adjusts the state value throug...

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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2022-01, Vol.2022 (1)
Main Authors: Li, Biwen, Wang, Donglun, Huang, Jingjing
Format: Article
Language:English
Subjects:
Communication
Controllers
Coupling
Graphs
Network topologies
Neural networks
State observers
Switching
Synchronism
Time lag
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Summary:In this paper, we study the synchronization of a class of multiple neural networks (MNNs) with delay and directed disconnected switching topology based on state observer via impulsive coupling control. The coupling topology is connected sequentially, and the controller adjusts the state value through event-triggering strategies. Different from the related works on MNNs, its state in this paper is assumed to be unmeasurable, and the time delay is also unmeasurable. Therefore, the observer does not contain the time-delay term. The impulsive switching controller and observer controller adjust the system through the observed value. By constructing the corresponding augmented matrix, the system can finally achieve quasi-synchronization (synchronization). Through derivation, we give the sufficient conditions ensuring quasi-synchronization (synchronization) via the event-triggered impulse control mechanism. In addition, numerical simulation examples are given to test our results of the theorem.
ISSN:1076-2787
1099-0526
DOI:10.1155/2022/4038598