Wen-Juan Lin

Orcid: 0000-0003-1643-1836

According to our database1, Wen-Juan Lin authored at least 21 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Fault-Tolerant State Estimation for Markov Jump Neural Networks With Time-Varying Delays.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Adaptive event-triggered fault-tolerant control for Markov jump nonlinear systems with time-varying delays and multiple faults.
Commun. Nonlinear Sci. Numer. Simul., January, 2024

Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach.
Neural Networks, 2024

Reachable set control for nonlinear Markov jump cyber-physical systems with false data injection attacks.
J. Frankl. Inst., 2024

2023
Reachable Set Control for Cyber-Physical Systems with False Data Injection Attacks.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

2022
Event-Triggered Fault Detection Filter Design for Discrete-Time Memristive Neural Networks With Time Delays.
IEEE Trans. Cybern., 2022

Reachable Set Synthesis of Markov Jump Systems With Time-Varying Delays and Mismatched Modes.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Input-to-State Stability Analysis of Digital Filters With Generalized Overflow Arithmetic and Time-Varying Delay.
IEEE Signal Process. Lett., 2022

Fault Detection for Neural Networks with Time Delays and Markov Jump Parameters.
Proceedings of the 13th Asian Control Conference, 2022

2021
Reachable Set Estimation for Discrete-Time Markovian Jump Neural Networks With Generally Incomplete Transition Probabilities.
IEEE Trans. Cybern., 2021

Stability analysis of generalized neural networks with fast-varying delay via a relaxed negative-determination quadratic function method.
Appl. Math. Comput., 2021

2020
Stochastic Finite-Time H<sub>∞</sub> State Estimation for Discrete-Time Semi-Markovian Jump Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020

Reachable set estimation for singular systems via state decomposition method.
J. Frankl. Inst., 2020

2019
Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals.
IEEE Trans. Neural Networks Learn. Syst., 2019

2018
Global Asymptotic Stability for Delayed Neural Networks Using an Integral Inequality Based on Nonorthogonal Polynomials.
IEEE Trans. Neural Networks Learn. Syst., 2018

Reachable set estimation for Markovian jump neural networks with time-varying delay.
Neural Networks, 2018

Dissipativity analysis for neural networks with two-delay components using an extended reciprocally convex matrix inequality.
Inf. Sci., 2018

Stability analysis of neural networks with time-varying delay: Enhanced stability criteria and conservatism comparisons.
Commun. Nonlinear Sci. Numer. Simul., 2018

2017
Improved synchronization of chaotic Lur'e systems with time delay using sampled-data control.
J. Frankl. Inst., 2017

Delay-dependent stability analysis of neural networks with time-varying delay: A generalized free-weighting-matrix approach.
Appl. Math. Comput., 2017

2016
Stability analysis of recurrent neural networks with interval time-varying delay via free-matrix-based integral inequality.
Neurocomputing, 2016


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