Robust Exponential Stability of a Class of Fractional Order Hopfield Neural Networks
Received:November 07, 2014  Revised:December 12, 2014
Key Words: fractional order neural networks   Gronwall inequality   robust exponential stability  
Fund Project:Supported by the Natural Science Foundation of Shandong Province (Grant No.ZR2011FQ002).
Author NameAffiliation
Xiaolei LIU Institute of System Science and Mathematics, Naval Aeronautical and Astronautical University, Shandong 264001, P. R. China 
Mingjiu GAI Institute of System Science and Mathematics, Naval Aeronautical and Astronautical University, Shandong 264001, P. R. China 
Shiwei CUI Institute of System Science and Mathematics, Naval Aeronautical and Astronautical University, Shandong 264001, P. R. China 
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Abstract:
      In this paper, we investigate the robust exponential stability of a class of fractional order Hopfield neural network with Caputo derivative, and we get some sufficient conditions to guarantee its robust exponential stability. Finally, we use one numerical simulation example to illustrate the correctness and effectiveness of our results.
Citation:
DOI:10.3770/j.issn:2095-2651.2015.06.007
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