Passivity-based synchronization for Markov switched neural networks with time delays and the inertial term
作者：
Highlights：
• Different from many literature on Markov switched NNs that only focus on the first derivative of the networks, a kind of general ones subject to the inertial term, namely MSINNs, is introduced in this paper.
• Compared with the existing work, some novel methods to deal with the time delays are employed, and a passive synchronization criterion with less conservatism is developed.
• An easy-to-design controller design method is presented, which is worthy of being extended in the analysis of other complex systems.
摘要
•Different from many literature on Markov switched NNs that only focus on the first derivative of the networks, a kind of general ones subject to the inertial term, namely MSINNs, is introduced in this paper.•Compared with the existing work, some novel methods to deal with the time delays are employed, and a passive synchronization criterion with less conservatism is developed.•An easy-to-design controller design method is presented, which is worthy of being extended in the analysis of other complex systems.
论文关键词：Markov switched neural networks,Inertial neural networks,Passivity-based synchronization,Time delays
论文评审过程：Received 15 August 2020, Revised 16 October 2020, Accepted 1 November 2020, Available online 1 December 2020, Version of Record 1 December 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125786
