Further results on finite-time synchronization of delayed inertial memristive neural networks via a novel analysis method. - Lanfeng Hua; Shouming Zhong; Kaibo Shi; Xiaojun Zhang (Neural Networks, 2020)

Novel Finite-Time Reliable Control Design for Memristor-Based Inertial Neural Networks With Mixed Time-Varying Delays. - Lanfeng Hua; Hong Zhu 001; Kaibo Shi; Shouming Zhong; Yiqian Tang; Yajuan Liu 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Finite-time impulsive consensus tracking control of nonlinear multi-agent systems. - Lanfeng Hua; Soohee Han; Hong Zhu 001; Kaibo Shi; Oh-Min Kwon 001 (ASCC, 2022)

Novel Criteria on Finite-Time Stability of Impulsive Stochastic Nonlinear Systems. - Lanfeng Hua; Hong Zhu 001; Shouming Zhong; Kaibo Shi; Jinde Cao (IEEE CAA J. Autom. Sinica, 2023)

Sliding Mode Control for Recurrent Neural Networks With Time-Varying Delays and Impulsive Effects. - Lanfeng Hua; Kaibo Shi; Zheng-Guang Wu; Soohee Han; Shouming Zhong (IEEE CAA J. Autom. Sinica, 2023)

Fixed-Time Stability of Nonlinear Impulsive Systems and its Application to Inertial Neural Networks. - Lanfeng Hua; Hong Zhu 001; Shouming Zhong; Yuping Zhang; Kaibo Shi; Oh-Min Kwon 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributed Sliding-Mode Consensus Tracking Control for Fuzzy Delayed Multiagent Systems Under Hybrid Cyber-Attacks. - Lanfeng Hua; Qishui Zhong; Yeng Chai Soh; Kaibo Shi; Oh-Min Kwon 001; Lei Yan; Shouming Zhong (IEEE Trans. Fuzzy Syst., 2024)

Finite-time fault-tolerant control for second-order neural networks with time-varying mixed delays. - Yongfang Jin; Xingwu Liu; Lanfeng Hua; Shouming Zhong; Xingwen Liu (J. Frankl. Inst., 2025)

Event-Triggered Global Finite-Time Sliding Mode Control for Impulsive Nonlinear Systems and Its Application to Coupled RDNNs. - Lanfeng Hua; Qishui Zhong; Xiao Cai; Kaibo Shi; Yeng Chai Soh; Huaicheng Yan 001 (IEEE Trans. Cybern., 2025)