Bin Zhang

Orcid: 0000-0001-7654-5072

Affiliations:
  • Sichuan University, College of Mathematics, Chengdu, China (PhD 2019)


According to our database1, Bin Zhang authored at least 21 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Observer-Based Adaptive Neural Sliding Mode Control of Fuzzy Systems With Sojourn-Probability-Based Multimode Attacks.
IEEE Trans. Cybern., April, 2026

Secure Dynamic Output Feedback Control of Fuzzy Multi-Rate Systems Under Important Data-Based Attacks.
IEEE Trans Autom. Sci. Eng., 2026

Inverse Reinforcement Learning for Sojourn-Probability-Based Fuzzy-Switched Systems.
IEEE Trans Autom. Sci. Eng., 2026

Leaderless Consensus of Multiple Euler-Lagrange Systems Under Dynamically Switching Topologies and DoS Attacks.
IEEE Internet Things J., 2026

Fault-tolerant security control for switched systems via learning observer and DoS attacks.
Commun. Nonlinear Sci. Numer. Simul., 2026

2025
Protocol-Based State Estimation for 2-D Markov Jumping Systems With Randomly Occurring FDIAs.
IEEE Trans. Cybern., December, 2025

Observer-Based Security Control for 2-D Fuzzy Switched Systems With Nonhomogeneous Sojourn Probabilities.
IEEE Trans. Cybern., July, 2025

Security Control for Fuzzy Singularly Perturbation Systems Under DoS Attacks.
IEEE Trans Autom. Sci. Eng., 2025

Time-space sampled-data control for semi-Markov reaction-diffusion neural networks: Adopting multiple event-triggered protocols.
Inf. Sci., 2025

2024
A fast trans-lasso algorithm with penalized weighted score function.
Comput. Stat. Data Anal., April, 2024

Tracking Performance of Feedback Systems Over a Fading Channel With Limited Bandwidth.
IEEE Trans. Cybern., February, 2024

Event-based asynchronous state estimation for Markov jump memristive neural networks.
Appl. Math. Comput., 2024

2023
An RMT-based generalized Bayesian information criterion for signal enumeration.
EURASIP J. Adv. Signal Process., December, 2023

Tracking performance limitations of MIMO discrete-time networked control systems with multiple constraints.
Sci. China Inf. Sci., August, 2023

Estimation of Large-Dimensional Covariance Matrices via Second-Order Stein-Type Regularization.
Entropy, January, 2023

A new algorithm for source enumeration in large dimensional regime.
Proceedings of the 7th International Conference on Digital Signal Processing, 2023

2019
Improved Shrinkage Estimators of Covariance Matrices With Toeplitz-Structured Targets in Small Sample Scenarios.
IEEE Access, 2019

Improved Covariance Matrix Estimators by Multi-Penalty Regularization.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Estimation of Large Covariance Matrices by Shrinking to Structured Target in Normal and Non-Normal Distributions.
IEEE Access, 2018

Improved Shrinkage-to-Tapering Estimation for High-Dimensional Covariance Matrices.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Estimation of high dimensional covariance matrices by shrinkage algorithms.
Proceedings of the 20th International Conference on Information Fusion, 2017


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