Yidong Tu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Tracking Control

Markov Processes

Top Venues

IEEE Trans. Fuzzy Syst.

J. Frankl. Inst.

Appl. Math. Comput.

Neural Comput. Appl.

Publications

Haiyang Fang, Yidong Tu, Shuping He, Hai Wang, Changyin Sun, Shing Shin Cheng
Self-Learning Takagi-Sugeno Fuzzy Control With Application to Semicar Active Suspension Model. IEEE Trans. Fuzzy Syst. 32 (1) (2024)
Zhen Huang, Yidong Tu, Haiyang Fang, Hai Wang, Liang Zhang, Kaibo Shi, Shuping He
Off-policy reinforcement learning for tracking control of discrete-time Markov jump linear systems with completely unknown dynamics. J. Frankl. Inst. 360 (3) (2023)
Yidong Tu, Haiyang Fang, Yanyan Yin, Shuping He
Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system. Neural Comput. Appl. 34 (7) (2022)
Xilin Xin, Yidong Tu, Vladimir Stojanovic, Hai Wang, Kaibo Shi, Shuping He, Tianhong Pan
Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems. Appl. Math. Comput. 412 (2022)
Huan Chen, Yidong Tu, Hai Wang, Kaibo Shi, Shuping He
Fault-tolerant tracking control based on reinforcement learning with application to a steer-by-wire system. J. Frankl. Inst. 359 (3) (2022)
Haiyang Fang, Yidong Tu, Hai Wang, Shuping He, Fei Liu, Zhengtao Ding, Shing Shin Cheng
Fuzzy-Based Adaptive Optimization of Unknown Discrete-Time Nonlinear Markov Jump Systems With Off-Policy Reinforcement Learning. IEEE Trans. Fuzzy Syst. 30 (12) (2022)
Zhen Huang, Yidong Tu, Shuping He
Optimal Tracking Control for Multi-player Non-Zero-Sum Games of Continuous-Time Linear Systems with Unknown Dynamics. ASCC (2022)