Published August 2013 | Version v1
Journal article

Projective synchronization of time-varying delayed neural network with adaptive scaling factors

  • 1. Physics and Applied Mathematics Unit, Indian Statistical Institute, Kolkata 700108 (India)
  • 2. Institute for Mathematical Research, University Putra Malaysia (Malaysia)

Description

Highlights: • Projective synchronization in coupled delayed neural chaotic systems with modulated delay time is introduced. • An adaptive rule for the scaling factors is introduced. • This scheme is highly applicable in secure communication. -- Abstract: In this work, the projective synchronization between two continuous time delayed neural systems with time varying delay is investigated. A sufficient condition for synchronization for the coupled systems with modulated delay is presented analytically with the help of the Krasovskii–Lyapunov approach. The effect of adaptive scaling factors on synchronization are also studied in details. Numerical simulations verify the effectiveness of the analytic results

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2013.04.007

Additional details

Identifiers

DOI
10.1016/j.chaos.2013.04.007;
PII
S0960-0779(13)00079-9;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
53
Journal Page Range
p. 1-9
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45052737
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CHAOS THEORY; COMMUNICATIONS; COMPUTERIZED SIMULATION; NEURAL NETWORKS; SYNCHRONIZATION; TIME DELAY
Descriptors DEC
MATHEMATICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.