Mengshen Chen

Orcid: 0000-0002-8884-0076

According to our database1, Mengshen Chen authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Novel Extended State Observer Design for Uncertain Nonlinear Systems via Refined Dynamic Event-Triggered Communication Protocol.
IEEE Trans. Cybern., March, 2023

2022
Event-Triggered Consensus of Multiagent Systems With Time-Varying Communication Delay.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Dynamic Event-Triggered Control of Singularity-Perturbed Dynamic Networks and its Application.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

2021
Dynamic Event-Triggered Asynchronous Control for Nonlinear Multiagent Systems Based on T-S Fuzzy Models.
IEEE Trans. Fuzzy Syst., 2021

Dynamic event-triggered consensus for discrete-time multi-agent systems.
Proceedings of the IECON 2021, 2021

2020
Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application.
IEEE Trans. Fuzzy Syst., 2020

2018
On energy-to-peak filtering for semi-Markov jump singular systems with unideal measurements.
Signal Process., 2018

2017
Dissipativity-based state estimation of delayed static neural networks.
Neurocomputing, 2017

Non-fragile mixed H<sub>∞</sub> and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity.
Neurocomputing, 2017

2016
On dissipative filtering over unreliable communication links for stochastic jumping neural networks based on a unified design method.
J. Frankl. Inst., 2016

Resilient H∞ filtering for discrete-time uncertain Markov jump neural networks over a finite-time interval.
Neurocomputing, 2016

Finite-time asynchronous H<sub>∞</sub> control for Markov jump repeated scalar non-linear systems with input constraints.
Appl. Math. Comput., 2016

2015
Non-fragile finite-time l<sub>2</sub>-l<sub>∞</sub> state estimation for discrete-time Markov jump neural networks with unreliable communication links.
Appl. Math. Comput., 2015


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