Optimal Tracking Control for Multi-player Non-Zero-Sum Games of Continuous-Time Linear Systems with Unknown Dynamics. - Zhen Huang; Yidong Tu; Shuping He (ASCC, 2022)

Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems. - Xilin Xin; Yidong Tu; Vladimir Stojanovic; Hai Wang 004; Kaibo Shi; Shuping He; Tianhong Pan (Appl. Math. Comput., 2022)

Fault-tolerant tracking control based on reinforcement learning with application to a steer-by-wire system. - Huan Chen; Yidong Tu; Hai Wang 004; Kaibo Shi; Shuping He (J. Frankl. Inst., 2022)

Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system. - Yidong Tu; Haiyang Fang; Yanyan Yin; Shuping He (Neural Comput. Appl., 2022)

Fuzzy-Based Adaptive Optimization of Unknown Discrete-Time Nonlinear Markov Jump Systems With Off-Policy Reinforcement Learning. - Haiyang Fang; Yidong Tu; Hai Wang 004; Shuping He; Fei Liu 001; Zhengtao Ding; Shing Shin Cheng (IEEE Trans. Fuzzy Syst., 2022)

Off-policy reinforcement learning for tracking control of discrete-time Markov jump linear systems with completely unknown dynamics. - Zhen Huang; Yidong Tu; Haiyang Fang; Hai Wang 004; Liang Zhang; Kaibo Shi; Shuping He (J. Frankl. Inst., 2023)

Self-Learning Takagi-Sugeno Fuzzy Control With Application to Semicar Active Suspension Model. - Haiyang Fang; Yidong Tu; Shuping He; Hai Wang 004; Changyin Sun 001; Shing Shin Cheng (IEEE Trans. Fuzzy Syst., 2024)