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Finite-time synchronization and [formula omitted] synchronization of coupled complex-valued memristive neural networks with and without parameter uncertainty.
- Source :
-
Neurocomputing . Jan2022, Vol. 469, p163-179. 17p. - Publication Year :
- 2022
-
Abstract
- In this paper, finite-time synchronization and H ∞ synchronization of coupled complex-valued memristive neural networks (CCVMNNs) with or without parameter uncertainty are analyzed. First, a finite-time synchronization (FTS) condition is presented for CCVMNNs by means of deploying Lyapunov stability theory and developing suitable controllers. Then, we utilize the similar method to derive a criterion of robust finite-time synchronization (RFTS) for the proposed CCVMNNs with uncertain parameter. Furthermore, we establish some criteria for the sake of ensuring that the considered network can reach finite-time H ∞ synchronization and robust finite-time H ∞ synchronization. At last, two numerical examples with simulations demonstrate the validity of the acquired results. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SYNCHRONIZATION
*LYAPUNOV stability
*STABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 469
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 153825650
- Full Text :
- https://doi.org/10.1016/j.neucom.2021.10.067