Abstract
In this paper synchronization of coupled inertial neural networks (INNs) with non-differentiable time varying delays is considered. The adaptive synchronization is analyzed with linearly coupled INNs through centralized and decentralized controller techniques. Initially the INNs is taken with reduced order and by using adaptive centralized and decentralized control, the synchronization criterion is obtained in terms of matrix inequalities. Furthermore without using the order reduction, INNs has to taken as it is and studied adaptive synchronization by constructing suitable Lyapunov functional. Finally, simulation results are presented to illustrate the obtained theoretical findings.
Original language | English |
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Pages (from-to) | 91-104 |
Number of pages | 14 |
Journal | Neurocomputing |
Volume | 469 |
DOIs | |
Publication status | Published - Jan 16 2022 |
Funding
AK was supported in part by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant “Dynamical Analysis and Synchronization of Complex Neural Networks with Its Applications”).
Keywords
- Centralized adaptive control
- Decentralized adaptive control
- Inertial neural network
- Synchronization
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence