A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 13
Issue 10
IEEE/CAA Journal of Automatica Sinica
| Citation: | Y. Wang, G. Zong, J. Wu, and X. Zou, “Free-will arbitrary time tracking control for single-link robot arm through composite actor-critic reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 10, pp. 2399–2401, Oct. 2026. doi: 10.1109/JAS.2025.125726
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M. Shen, H. Zhang, S. K. Nguang, and C. K. Ahn, “H∞ output anti-disturbance control of stochastic Markov jump systems with multiple disturbances,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 51, no. 12, pp. 7633−7643, 2021. doi: 10.1109/TSMC.2020.2981112
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D. Zhang, J. Hu, J. Cheng, Z. G. Wu, and H. Yan, “A novel disturbance observer based fixed-time sliding mode control for robotic manipulators with global fast convergence,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 3, pp. 661−672, 2024. doi: 10.1109/JAS.2023.123948
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A. K. Pal, S. Kamal, X. Yu, S. K. Nagar, and B. Bandyopadhyay, “Free-will arbitrary time terminal sliding mode control,” IEEE Trans. Circuits and Systems Ⅱ: Express Briefs, vol. 69, no. 7, pp. 3189−3193, 2022. doi: 10.1109/TCSII.2022.3143177
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W. He, H. Gao, C. Zhou, C. Yang, and Z. Li, “Reinforcement learning control of a flexible two-link manipulator: an experimental investigation,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 51, no. 12, pp. 7326−7336, 2021. doi: 10.1109/TSMC.2020.2975232
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M. Shen, X. Wang, S. Zhu, T. Huang, and Q. Wang, “Event-triggered data-driven control of nonlinear systems via Q-Learning,” IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 55, no. 2, pp. 1069−1077, 2025. doi: 10.1109/TSMC.2024.3493965
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S. Cao, L. Sun, J. Jiang, and Z. Zuo, “Reinforcement learning-based fixed-time trajectory tracking control for uncertain robotic manipulators with input saturation,” IEEE Trans. Neural Networks and Learning Systems, vol. 34, no. 8, pp. 4584−4595, 2023. doi: 10.1109/TNNLS.2021.3116713
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