The following publications are possibly variants of this publication:
- Off-policy reinforcement learning for tracking control of discrete-time Markov jump linear systems with completely unknown dynamicsZhen Huang, Yidong Tu, Haiyang Fang, Hai Wang 0004, Liang Zhang, Kaibo Shi, Shuping He. jfi, 360(3):2361-2378, February 2023. [doi]
- ∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning methodHe Jiang, Huaguang Zhang, Yanhong Luo, Xiaohong Cui. ijon, 237:226-234, 2017. [doi]
- Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning methodHe Jiang, Huaguang Zhang, Yang Cui, Geyang Xiao. ijon, 273:68-77, 2018. [doi]
- Data-driven finite-horizon optimal tracking control scheme for completely unknown discrete-time nonlinear systemsRuizhuo Song, YuLong Xie, Zenglian Zhang. ijon, 356:206-216, 2019. [doi]
- Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic ProgrammingXiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang. tnn, 25(12):2141-2155, 2014. [doi]