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Finite-time lag synchronization of inertial neural networks with mixed infinite time-varying delays and state-dependent switching.
- Source :
-
Neurocomputing . Apr2021, Vol. 433, p50-58. 9p. - Publication Year :
- 2021
-
Abstract
- In this article, we design a new control scheme to investigate the finite-time lag synchronization (FTLS) of inertial neural networks (INNs) with mixed infinite time-varying delays and state-dependent switching. Several novel and easily verified conditions are gained guaranteeing the FTLS of INNs via the finite-time stability theory and nonsmooth analysis. Moreover, it is worth emphasizing that here we directly analyze INNs without using variable substitution, which is different from the reduced-order approach used in correspondingly previous works. At last, a numerical example and an application in image encryption are given to verify the correctness and practicability of the obtained results. [ABSTRACT FROM AUTHOR]
- Subjects :
- *NONSMOOTH optimization
*IMAGE encryption
*SYNCHRONIZATION
*STABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 433
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 148985146
- Full Text :
- https://doi.org/10.1016/j.neucom.2020.12.059