Predefined-time synchronization of competitive neural networks.
Neural Netw
; 142: 492-499, 2021 Oct.
Article
in En
| MEDLINE
| ID: mdl-34280692
ABSTRACT
In this paper, the predefined-time synchronization of competitive neural networks (CNNs) is researched based on two different predefined-time stability theorems. In view of the bilayer structure of CNNs, we design two bilayer predefined-time controllers. The first controller utilizes sign function, while the second controller utilizes exponential function and Lyapunov function. In these two controllers, the predefined time is set as a controller parameter, and it can be an arbitrary positive constant. Under these two controllers, the considered CNNs can achieve synchronization within the predefined time regardless of the initial values. A specific example is presented to validate the theoretical results.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Neural Networks, Computer
Type of study:
Prognostic_studies
Language:
En
Journal:
Neural Netw
Journal subject:
NEUROLOGIA
Year:
2021
Document type:
Article