Extended dissipative conditions for memristive neural networks with multiple time delays

Extended dissipative conditions for memristive neural networks with multiple time delays
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具有多个时间延迟的忆阻神经网络的扩展耗散条件

DOI:
10.1016/j.amc.2017.11.053
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发表时间:
2018-04
影响因子:
4
通讯作者:
Zhong Shouming
Zhong Shouming
中科院分区:
数学2区
文献类型:
--
作者:
Xiao Jianying;Zhong Shouming

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This paper addresses the problem of extended dissipative conditions for memristive neural networks with multiple time delays. The multiple time delays contain discrete, distributed and leakage time-varying delays. Based on both nonsmooth analysis and Lyapunov method, the extended dissipative conditions are obtained by mainly applying differential inclusions, set-valued maps and some new integral inequalities. The extended dissipative conditions can be applied in judging l 2− l∞ performance, H∞ action, passive behavior and dissipative dynamics in a unified framework. Finally, a numerical example is provided to demonstrate the effectiveness and less conservatism of the proposed criteria.
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