Tao Wu

According to our database, Tao Wu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement Learning for Fuzzy Structured Adaptive Optimal Control of Discrete-Time Nonlinear Complex Networks.

Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Hak-Keung Lam

IEEE Trans. Fuzzy Syst., November, 2024

Anti-Attack Protocol-Based Synchronization Control for Fuzzy Complex Dynamic Networks.

Tao Wu, Jinde Cao, Choon Ki Ahn, Lianglin Xiong, Yang Liu, Hak-Keung Lam

IEEE Trans. Fuzzy Syst., June, 2024

Attack-Resilient Dynamic Event-Triggered Synchronization of Fuzzy Reaction-Diffusion Dynamic Networks With Multiple Cyberattacks.

Tao Wu, Jinde Cao, Ju H. Park, Kaibo Shi, Lianglin Xiong, Tingwen Huang

IEEE Trans. Fuzzy Syst., February, 2024

2023

Stochastic quantized control for memristive neural networks with mixed semi-Markov jump and sampled-data communications using a novel approach.

Lianglin Xiong, Li Cai, Jinde Cao, Tao Wu, Haiyang Zhang

Knowl. Based Syst., October, 2023

Adaptive Event-Triggered Mechanism to Synchronization of Reaction-Diffusion CVNNs and Its Application in Image Secure Communication.

Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Xuegang Tan

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Adaptive Event-Triggered Space-Time Sampled-Data Synchronization for Fuzzy Coupled RDNNs Under Hybrid Random Cyberattacks.

Tao Wu, Sergey Gorbachev, Hak-Keung Lam, Ju H. Park, Lianglin Xiong, Jinde Cao

IEEE Trans. Fuzzy Syst., June, 2023

2022

Stochastic stability and extended dissipativity analysis for delayed neural networks with markovian jump via novel integral inequality.

Yingying Liu, Lianglin Xiong, Tao Wu, Haiyang Zhang

J. Frankl. Inst., 2022

Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems.

Tao Wu, Lianglin Xiong, Jinde Cao, Ju H. Park

Fuzzy Sets Syst., 2022

Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques.

Tao Wu, Jinde Cao, Lianglin Xiong, Haiyang Zhang, Jinlong Shu

Appl. Math. Comput., 2022

2021

Synchronization of coupled reaction-diffusion stochastic neural networks with time-varying delay via delay-dependent impulsive pinning control algorithm.

Tao Wu, Lianglin Xiong, Jinde Cao, Ju H. Park, Jun Cheng

Commun. Nonlinear Sci. Numer. Simul., 2021

Stochastic stabilization of Markov jump quaternion-valued neural network using sampled-data control.

Jinlong Shu, Baowei Wu, Lianglin Xiong, Tao Wu, Haiyang Zhang

Appl. Math. Comput., 2021

A New Free-matrix Inequality with application to Exponential State Estimation for Markov Jump Neural Networks.

Xiaoman Liu, Haiyang Zhang, Lianglin Xiong, Tao Wu, Zhaoyong Tang

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

A novel approach to synchronization conditions for delayed chaotic Lur'e systems with state sampled-data quantized controller.

Tao Wu, Ju H. Park, Lianglin Xiong, Xueqin Xie, Haiyang Zhang

J. Frankl. Inst., 2020

New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller.

Tao Wu, Lianglin Xiong, Jun Cheng, Xueqin Xie

Inf. Sci., 2020

Stochastic Exponential Stabilization for Markov Jump Neural Networks with Time-varying Delays via Adaptive Event-Triggered Impulsive Control.

Xiaoman Liu, Haiyang Zhang, Tao Wu, Jinlong Shu

Complex., 2020

2019

New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control.

Tao Wu, Jinde Cao, Lianglin Xiong, Haiyang Zhang

Complex., 2019

2018

New stability and stabilization conditions for stochastic neural networks of neutral type with Markovian jumping parameters.

Tao Wu, Lianglin Xiong, Jinde Cao, Zixin Liu, Haiyang Zhang

J. Frankl. Inst., 2018