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Mean-square exponential stability analysis of stochastic neural networks with time-varying delays via fixed point method
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نویسنده
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yao t. ,lai x.
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منبع
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journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
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چکیده
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This work addresses the stability study for stochastic cellular neural networks with time-varying delays. by utilizing the new research technique of the fixed point theory,we find some new and concise sufficient conditions ensuring the existence and uniqueness as well as mean-square global exponential stability of the solution. the presented algebraic stability criteria are easily checked and do not require the differentiability of delays. the paper is finally ended with an example to show the effectiveness of the obtained results. © 2014 tianxiang yao and xianghong lai.
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آدرس
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collaborative innovation center on forecast and evaluation of meteorological disasters,nanjing university of information science and technology,nanjing,210044,china,school of economics and management,nanjing university of information science and technology, China, school of economics and management,nanjing university of information science and technology, China
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Authors
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