New stability and stabilization conditions for stochastic neural networks of neutral type with Markovian jumping parameters. - Tao Wu 012; Lianglin Xiong; Jinde Cao; Zixin Liu; Haiyang Zhang 002 (J. Frankl. Inst., 2018)

New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control. - Tao Wu 012; Jinde Cao; Lianglin Xiong; Haiyang Zhang 002 (Complex., 2019)

Stochastic Exponential Stabilization for Markov Jump Neural Networks with Time-varying Delays via Adaptive Event-Triggered Impulsive Control. - Xiaoman Liu; Haiyang Zhang 002; Tao Wu 012; Jinlong Shu (Complex., 2020)

New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller. - Tao Wu 012; Lianglin Xiong; Jun Cheng 004; Xueqin Xie (Inf. Sci., 2020)

A novel approach to synchronization conditions for delayed chaotic Lur'e systems with state sampled-data quantized controller. - Tao Wu 012; Ju H. Park 001; Lianglin Xiong; Xueqin Xie; Haiyang Zhang 002 (J. Frankl. Inst., 2020)

A New Free-matrix Inequality with application to Exponential State Estimation for Markov Jump Neural Networks. - Xiaoman Liu; Haiyang Zhang 002; Lianglin Xiong; Tao Wu 012; Zhaoyong Tang (ITQM, 2021)

Stochastic stabilization of Markov jump quaternion-valued neural network using sampled-data control. - Jinlong Shu; Baowei Wu; Lianglin Xiong; Tao Wu 012; Haiyang Zhang 002 (Appl. Math. Comput., 2021)

Synchronization of coupled reaction-diffusion stochastic neural networks with time-varying delay via delay-dependent impulsive pinning control algorithm. - Tao Wu 012; Lianglin Xiong; Jinde Cao; Ju H. Park 001; Jun Cheng 004 (Commun. Nonlinear Sci. Numer. Simul., 2021)

Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques. - Tao Wu 012; Jinde Cao; Lianglin Xiong; Haiyang Zhang 002; Jinlong Shu (Appl. Math. Comput., 2022)

Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems. - Tao Wu 012; Lianglin Xiong; Jinde Cao; Ju H. Park 001 (Fuzzy Sets Syst., 2022)

Stochastic stability and extended dissipativity analysis for delayed neural networks with markovian jump via novel integral inequality. - Yingying Liu; Lianglin Xiong; Tao Wu 012; Haiyang Zhang 002 (J. Frankl. Inst., 2022)

Adaptive Event-Triggered Space-Time Sampled-Data Synchronization for Fuzzy Coupled RDNNs Under Hybrid Random Cyberattacks. - Tao Wu 012; Sergey Gorbachev; Hak-Keung Lam; Ju H. Park 001; Lianglin Xiong; Jinde Cao (IEEE Trans. Fuzzy Syst., 2023)

Adaptive Event-Triggered Mechanism to Synchronization of Reaction-Diffusion CVNNs and Its Application in Image Secure Communication. - Tao Wu 012; Jinde Cao; Lianglin Xiong; Ju H. Park 001; Xuegang Tan (IEEE Trans. Syst. Man Cybern. Syst., 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 012; Haiyang Zhang 002 (Knowl. Based Syst., 2023)

Attack-Resilient Dynamic Event-Triggered Synchronization of Fuzzy Reaction-Diffusion Dynamic Networks With Multiple Cyberattacks. - Tao Wu 012; Jinde Cao; Ju H. Park 001; Kaibo Shi; Lianglin Xiong; Tingwen Huang (IEEE Trans. Fuzzy Syst., 2024)

Anti-Attack Protocol-Based Synchronization Control for Fuzzy Complex Dynamic Networks. - Tao Wu 012; Jinde Cao; Choon Ki Ahn; Lianglin Xiong; Yang Liu 040; Hak-Keung Lam (IEEE Trans. Fuzzy Syst., 2024)

Reinforcement Learning for Fuzzy Structured Adaptive Optimal Control of Discrete-Time Nonlinear Complex Networks. - Tao Wu 012; Jinde Cao; Lianglin Xiong; Ju H. Park 001; Hak-Keung Lam (IEEE Trans. Fuzzy Syst., 2024)