Published August 2013
| Version v1
Journal article
Projective synchronization of time-varying delayed neural network with adaptive scaling factors
Creators
- 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.2013.04.007Additional 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.