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Mittag–Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control
- Source :
- IEEE Transactions on Neural Networks and Learning Systems. 32:2279-2284
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- This brief is devoted to exploring the global Mittag-Leffler (ML) synchronization problem of fractional-order memristor neural networks (FOMNNs) with leakage delay via a hybrid adaptive controller. By applying Fillipov's theory and the Lyapunov functional method, the novel algebraic sufficient condition for the global ML synchronization of FOMNNs is derived. Finally, a simulation example is presented to show the practicability of our findings.
- Subjects :
- Adaptive control
Artificial neural network
Computer Networks and Communications
Computer science
02 engineering and technology
Memristor
Synchronization
Computer Science Applications
law.invention
Artificial Intelligence
Control theory
law
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Algebraic number
Software
Subjects
Details
- ISSN :
- 21622388 and 2162237X
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Neural Networks and Learning Systems
- Accession number :
- edsair.doi.dedup.....f1294f4a321bc4c733ac0fdf3b120bd7