Shuaibing Zhu

Orcid: 0000-0002-4801-8969

According to our database1, Shuaibing Zhu authored at least 15 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Further on Synchronization of Dynamical Networks via Adaptive Intermittent Control.
IEEE Trans. Autom. Control., October, 2024

Adaptive Synchronization of Complex Dynamical Networks: Dealing With Uncertain Impulses.
IEEE Trans. Autom. Control., June, 2024

Further on Pinning Synchronization of Dynamical Networks with Coupling Delay.
SIAM J. Control. Optim., 2024

Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks.
Neural Networks, 2024

2023
Identifying partial topology of complex dynamical networks with distributed delay.
Commun. Nonlinear Sci. Numer. Simul., November, 2023

Adaptive Exponential Synchronization of Complex Networks With Nondifferentiable Time-Varying Delay.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Estimating the Region of Attraction on Controlled Complex Networks With Time-Varying Delay.
IEEE Trans. Autom. Control., 2023

2022
Synchronization of Complex Networks With Nondifferentiable Time-Varying Delay.
IEEE Trans. Cybern., 2022

Identifying partial topology of complex networks with stochastic perturbations and time delay.
Commun. Nonlinear Sci. Numer. Simul., 2022

2021
A New Method for Topology Identification of Complex Dynamical Networks.
IEEE Trans. Cybern., 2021

Bounded Synchronization of Heterogeneous Complex Dynamical Networks: A Unified Approach.
IEEE Trans. Autom. Control., 2021

Finite-Time Synchronization of Impulsive Dynamical Networks With Strong Nonlinearity.
IEEE Trans. Autom. Control., 2021

2020
Topology Identification of Multiplex Delayed Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

2019
Estimating the Region of Attraction on a Complex Dynamical Network.
SIAM J. Control. Optim., 2019

2015
A Method for Community Detection of Complex Networks Based on Hierarchical Clustering.
Int. J. Distributed Sens. Networks, 2015


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