Treffer: Design of controller on synchronization of memristor-based neural networks with time-varying delays

Title:
Design of controller on synchronization of memristor-based neural networks with time-varying delays
Authors:
LEIMIN WANG, YI SHEN
Source:
Neurocomputing (Amsterdam). 147:372-379
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 35 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Generalites, General, Physique statistique, thermodynamique, et systèmes dynamiques non linéaires, Statistical physics, thermodynamics, and nonlinear dynamical systems, Dynamique non linéaire et systèmes dynamiques non linéaires, Nonlinear dynamics and nonlinear dynamical systems, Synchronisation ; oscillateurs couplés, Synchronization ; coupled oscillators, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Connexionnisme. Réseaux neuronaux, Connectionism. Neural networks, Electronique, Electronics, Electronique des semiconducteurs. Microélectronique. Optoélectronique. Dispositifs à l'état solide, Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices, Circuits intégrés, Integrated circuits, Circuits intégrés par fonction (dont mémoires et processeurs), Integrated circuits by function (including memories and processors), Dispositifs micro- et nanoélectromécaniques (mems/nems), Micro- and nanoelectromechanical devices (mems/nems), Circuit mémoire, Memory circuit, Circuito memoria, Mémoire non volatile, Non volatile memory, Memoria no volátil, Méthode Newton, Newton method, Método Newton, Retard, Delay, Retraso, Réseau neuronal, Neural network, Red neuronal, Synchronisation, Synchronization, Sincronización, Synthèse commande, Control synthesis, Síntesis control, Système paramètre variable, Time varying system, Sistema parámetro variable, Système à retard, Delay system, Sistema con retardo, Temps retard, Delay time, Tiempo retardo, Memristor, Filippov solution, Memristor-based neural networks
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China
ISSN:
0925-2312
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28836762
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Electronics

Theoretical physics
Accession Number:
edscal.28836762
Database:
PASCAL Archive

Weitere Informationen

In this paper, synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. By employing the Newton-Leibniz formulation and inequality technique, the controller with state or output coupling is designed to obtain global exponential synchronization of MNNs. The obtained delay-dependent conditions can be checked easily and they also enrich and improve the results in earlier publications. Finally, one numerical example is given to demonstrate the effectiveness of the obtained results.