Bing Li

Orcid: 0000-0002-4780-1708

Affiliations:
  • Chongqing Jiaotong University, College of Sciences, China


According to our database1, Bing Li authored at least 27 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Leader-Following Group Consensus of Fractional-Order Multiagent Systems via a Dynamic Event-Triggered Control Strategy.
IEEE Trans. Control. Netw. Syst., September, 2024

2023
Global Exponential Stability Analysis of Commutative Quaternion-Valued Neural Networks with Time Delays on Time Scales.
Neural Process. Lett., October, 2023

On the Existence of the Exact Solution of Quaternion-Valued Neural Networks Based on a Sequence of Approximate Solutions.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

State estimation of complex-valued neural networks with leakage delay: A dynamic event-triggered approach.
Neurocomputing, 2023

2022
Distributed Quasiconsensus Control for Stochastic Multiagent Systems Under Round-Robin Protocol and Uniform Quantization.
IEEE Trans. Cybern., 2022

Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol.
J. Frankl. Inst., 2022

Event-Triggered μ-state estimation for Markovian jumping neural networks with mixed time-delays.
Appl. Math. Comput., 2022

Guaranteed-Cost Consensus Control for High-Dimensional Multi-Agent Systems With Input Delays and Parameter Uncertainties.
IEEE Access, 2022

2021
H<sub>∞</sub> State Estimation for Round-Robin Protocol-Based Markovian Jumping Neural Networks with Mixed Time Delays.
Neural Process. Lett., 2021

2020
Synchronization for impulsive hybrid-coupled reaction-diffusion neural networks with time-varying delays.
Commun. Nonlinear Sci. Numer. Simul., 2020

Global Exponential Stability of Commutative Quaternion-Valued Neural Networks With Time Varying Delays.
IEEE Access, 2020

2019
Input-to-State Stabilization of Delayed Differential Systems With Exogenous Disturbances: The Event-Triggered Case.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Observer-Based Event-Triggered Control for Nonlinear Systems With Mixed Delays and Disturbances: The Input-to-State Stability.
IEEE Trans. Cybern., 2019

Input-to-State Stabilization in Probability for Nonlinear Stochastic Systems Under Quantization Effects and Communication Protocols.
IEEE Trans. Cybern., 2019

2018
An Event-Triggered Pinning Control Approach to Synchronization of Discrete-Time Stochastic Complex Dynamical Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
A note on stability of hybrid stochastic differential equations.
Appl. Math. Comput., 2017

Exponential Stability of Neutral T-S Fuzzy Neural Networks with Impulses.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
Global Mean Square Exponential Stability of Impulsive Non-autonomous Stochastic Neural Networks with Mixed Delays.
Neural Process. Lett., 2016

Some new results on periodic solution of Cohen-Grossberg neural network with impulses.
Neurocomputing, 2016

Asymptotic Behaviors for Non-autonomous Difference Neural Networks with Impulses and Delays.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2014
Attraction of stochastic neutral delay differential equations with Markovian switching.
IMA J. Math. Control. Inf., 2014

2013
Stability analysis for impulsive stochastic delay differential equations with Markovian switching.
J. Frankl. Inst., 2013

Exponential p-stability of stochastic recurrent neural networks with mixed delays and Markovian switching.
Neurocomputing, 2013

2012
Existence and exponential stability of periodic solution for impulsive Cohen-Grossberg neural networks with time-varying delays.
Appl. Math. Comput., 2012

2011
Invariant Set and Attractor of Discrete-Time Impulsive Recurrent Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010
P-Moment Asymptotic Behavior of Nonautonomous Stochastic Differential Equation with Delay.
Proceedings of the Advances in Neural Networks, 2010

2009
Mean square asymptotic behavior of stochastic neural networks with infinitely distributed delays.
Neurocomputing, 2009


  Loading...