A Fuzzy-Model-Based Approach to Optimal Control for Nonlinear Markov Jump Singularly Perturbed Systems: A Novel Integral Reinforcement Learning Scheme. - Hao Shen 001; Yun Wang 025; Jing Wang 071; Ju H. Park 001 (IEEE Trans. Fuzzy Syst., 2023)

Q-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure. - Yun Wang 025; Jiawei Xia; Jing Wang 071; Hao Shen 001 (Inf. Sci., 2024)

Optimal control for continuous-time Markov jump singularly perturbed systems : A hybrid reinforcement learning scheme. - Yaling Huang; Wenqian Li 002; Yun Wang 025; Hao Shen 001 (J. Frankl. Inst., 2024)

Reinforcement Learning-Based Robust Tracking Control for Unknown Markov Jump Systems and its Application. - Hao Shen 001; Jiacheng Wu; Yun Wang 025; Jing Wang 071 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Secure Control for Markov Jump Cyber-Physical Systems Subject to Malicious Attacks: A Resilient Hybrid Learning Scheme. - Hao Shen 001; Yun Wang 025; Jiacheng Wu; Ju H. Park 001; Jing Wang 071 (IEEE Trans. Cybern., 2024)

Reinforcement Learning Control of Double-Layer Markov Jump Systems With PDT-Switched Transition Probabilities. - Hao Shen 001; Jiacheng Wu; Yun Wang 025; Huaicheng Yan 001; Shengyuan Xu 001 (IEEE Trans Autom. Sci. Eng., 2025)

A Zero-Sum Game-Based Hybrid Iteration Reinforcement Learning Scheme to Optimal Control for Fuzzy Singularly Perturbed Systems. - Jie Dong; Yun Wang 025; Lei Su 001; Hao Shen 001 (Int. J. Fuzzy Syst., 2025)

Data-Driven Single-Loop Policy Iteration Control of Uncertain Singularly Perturbed Systems. - Hao Shen 001; Yun Wang 025; Huaicheng Yan 001; Shengyuan Xu 001 (IEEE Trans. Autom. Control., 2025)