Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays Rajivganthi, C, Rihan, FA, Lakshmanan, Shanmugam and Muthukumar, P 2016, Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays, Neural computing and applications, pp. 1-12, doi: 10.1007/s00521-016-2641-9. Attached Files Name Description MIMEType Size Downloads Title Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays Author(s) Rajivganthi, C Rihan, FA Lakshmanan, Shanmugam orcid.org/0000-0002-4622-3782 Muthukumar, P Journal name Neural computing and applications Start page 1 End page 12 Total pages 12 Publisher Springer Verlag Place of publication Berlin, Germany Publication date 2016-11-01 ISSN 0941-0643 1433-3058 Keyword(s) Banach contraction principle Cohen– Grossberg BAM neural networks Finite-time stability Fractional-order derivative Time delay Summary In this paper, the problem of finite-time stability for a class of fractional-order Cohen–Grossberg BAM neural networks with time delays is investigated. Using some inequality techniques, differential mean value theorem and contraction mapping principle, sufficient conditions are presented to ensure the finite-time stability of such fractional-order neural models. Finally, a numerical example and simulations are provided to demonstrate the effectiveness of the derived theoretical results. Notes In press Language eng DOI 10.1007/s00521-016-2641-9 Field of Research 0801 Artificial Intelligence And Image Processing 1702 Cognitive Science Socio Economic Objective 0 Not Applicable HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2016, The Natural Computing Applications Forum Persistent URL http://hdl.handle.net/10536/DRO/DU:30089103 Document type: Journal Article Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 17 Nov 2016, 10:26:33 EST Fri, 18 Nov 2016, 04:00:21 EST Fri, 18 Nov 2016, 05:06:43 EST Fri, 18 Nov 2016, 08:26:14 EST Fri, 18 Nov 2016, 08:27:30 EST Sat, 01 Apr 2017, 05:04:50 EST Tue, 06 Jun 2017, 14:33:03 EST Tue, 06 Jun 2017, 14:36:57 EST Thu, 15 Jun 2017, 08:13:23 EST Thu, 07 Sep 2017, 14:36:40 EST Fri, 08 Sep 2017, 08:27:50 EST Sat, 26 May 2018, 02:31:24 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 23 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 17 Nov 2016, 10:26:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.