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Finite-time anti-synchronization for delayed inertial neural networks via the fractional and polynomial controllers of time variable
- Source :
- AIMS Mathematics, Vol 6, Iss 8, Pp 8173-8190 (2021)
- Publication Year :
- 2021
- Publisher :
- AIMS Press, 2021.
-
Abstract
- This paper focuses on the finite-time anti-synchronization for a class of delayed master-slave inertial neural networks. By means of using the property of quadratic inequality of one variable and designing the fractional and polynomial controllers of time variable, two sufficient conditions to assure the finite-time anti-synchronization for the master-slave delayed inertial neural networks are established. Our controllers designed related to time variable t and the study method on the finite-time anti-synchronization are different from these in the existing papers.
- Subjects :
- Polynomial
Inertial frame of reference
Artificial neural network
Computer science
Property (programming)
General Mathematics
the fractional and polynomial controllers of time variable
drive-response delayed inertial neural networks
finite-time anti-synchronization
Synchronization
Control theory
QA1-939
quadratic inequality of one variable
Finite time
Time variable
Mathematics
Variable (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 24736988
- Volume :
- 6
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- AIMS Mathematics
- Accession number :
- edsair.doi.dedup.....3175f583514ab3b7b5a11672f801e813