Extended dissipative conditions for memristive neural networks with multiple time delays
作者：
Highlights：
• First, the extended dissipativity concept is introduced for MNNs with mixed time-varying delays.
• Second, not only the discrete and distributed delays are time-varying but also the leakage delays are variable.
• Third, the parameter uncertainties are considered for MNNs.
• Fourth, new free-matrix-based integral inequality is employed to reduce the conservatism by combining with other inequalities.
摘要
•First, the extended dissipativity concept is introduced for MNNs with mixed time-varying delays.•Second, not only the discrete and distributed delays are time-varying but also the leakage delays are variable.•Third, the parameter uncertainties are considered for MNNs.•Fourth, new free-matrix-based integral inequality is employed to reduce the conservatism by combining with other inequalities.
论文关键词：Memristor,Neural networks,Extended dissipative conditions,Time delays
论文评审过程：Received 8 August 2017, Revised 27 October 2017, Accepted 23 November 2017, Available online 15 December 2017, Version of Record 15 December 2017.
论文官网地址：https://doi.org/10.1016/j.amc.2017.11.053
