Event-Triggered μ-state estimation for Markovian jumping neural networks with mixed time-delays

作者：

Highlights：

• A general MJNNs with both the unbounded time-varying delay and distributed delay.

• A novel time-varying Lyapunov-Krasovskii functional with a general convergency rate function.

• The co-desinged mode-dependent ETM-based estimator.

摘要

•A general MJNNs with both the unbounded time-varying delay and distributed delay.•A novel time-varying Lyapunov-Krasovskii functional with a general convergency rate function.•The co-desinged mode-dependent ETM-based estimator.

论文关键词：Markovian jumping neural networks,State estimation,Event-triggered mechanism,Unbounded time-varying delay,Stochastic μ-stability

论文评审过程：Received 11 October 2021, Revised 3 January 2022, Accepted 1 March 2022, Available online 21 March 2022, Version of Record 21 March 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127056