synchronization for singularly perturbed complex networks with semi-Markov jump topology. - Kun Liang; Mingcheng Dai; Hao Shen 001; Jing Wang 071; Zhen Wang 008; Bo Chen (Appl. Math. Comput., 2018)

Quantized Output Feedback Control for Stochastic Semi-Markov Jump Systems With Unreliable Links. - Hao Shen 001; Mingcheng Dai; Huaicheng Yan 001; Ju H. Park 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Non-fragile extended dissipativity-based state feedback control for 2-D Markov jump delayed systems. - Mingcheng Dai; Zhengguo Huang; Jianwei Xia; Bo Meng; Jian Wang 096; Hao Shen 001 (Appl. Math. Comput., 2019)

Event-triggered passive synchronization for Markov jump neural networks subject to randomly occurring gain variations. - Mingcheng Dai; Jianwei Xia; Xia Huang; Hao Shen 001 (Neurocomputing, 2019)

Asynchronous dissipative filtering for Markov jump discrete-time systems subject to randomly occurring distributed delays. - Mingcheng Dai; Jianwei Xia; Ju H. Park 001; Xia Huang; Hao Shen 001 (J. Frankl. Inst., 2019)

Fault-Tolerant Fuzzy Control for Semi-Markov Jump Nonlinear Systems Subject to Incomplete SMK and Actuator Failures. - Hao Shen 001; Mingcheng Dai; Yiping Luo 001; Jinde Cao; Mohammed Chadli (IEEE Trans. Fuzzy Syst., 2021)

Distributed online bandit linear regressions with differential privacy. - Mingcheng Dai; Daniel W. C. Ho; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (J. Frankl. Inst., 2023)

Finite/Fixed-Time Synchronization of Memristor-Based Fuzzy Neural Networks with Markov Jumping Parameters Under Unified Control Schemes. - Ting Wang; Mingcheng Dai; Baoyong Zhang; Yijun Zhang 001 (Neural Process. Lett., 2023)

Distributed Online Convex Optimization With Statistical Privacy. - Mingcheng Dai; Daniel W. C. Ho; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)