Journal papers

(* Corresponding author)

1. J. Lu, L. Li, F.-Y. Wang*. Event-triggered parallel control using deep reinforcement learning with application to comfortable autonomous driving. IEEE Transactions on Intelligent Vehicles. 2024.
2. J. Lu*, X. Wang, Q. Wei, F.-Y. Wang. Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach. Neurocomputing. 2024.
3. J. Lu, Q. Wei, T. Zhou, Z. Wang, F.-Y. Wang*. Event-triggered near-optimal control for unknown discrete-time nonlinear systems using parallel control. IEEE Transactions on Cybernetics. 2023.
4. J. Lu*, L. Han, Q. Wei, X. Wang, X. Dai, F.-Y. Wang. Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving. IEEE Transactions on Intelligent Vehicles. 2023.
5. J. Lu, X. Wang, X. Cheng, J. Yang, O. Kwan, X. Wang*. Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering. IEEE/CAA Journal of Automatica Sinica. 2022.
6. J. Lu, Q. Wei, Y. Liu, T. Zhou, F.-Y. Wang*. Event-triggered optimal parallel tracking control for discrete-time nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2022.
7. J. Lu, Q. Wei, Z. Wang, T. Zhou, F.-Y. Wang*. Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control. Information Sciences. 2022.
8. J. Lu, Q. Wei*, F.-Y. Wang. Parallel control for optimal tracking via adaptive dynamic programming. IEEE/CAA Journal of Automatica Sinica. 2020.
9. Q. Wei*, J. Lu, T. Zhou, X. Cheng, F.-Y. Wang. Event-triggered near-optimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system. IEEE Transactions on Industrial Informatics. 2022.
10. X. Wang, X. Cheng, J. Lu*, O. Kwan, S. Li, Z. Ping. Metaverses-based parallel oil fields in CPSS: A framework and methodology. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023.
11. Q. Wei*, T. Zhou, J. Lu, Y. Liu, S. Su, J. Xiao. Continuous-time stochastic policy iteration adaptive dynamic programming. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023.
12. Q. Wei*, L. Wang, J. Lu, F.-Y. Wang. Discrete-time self-learning parallel control. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2022.
13. Q. Wei*, Y. Liu, J. Lu, J. Ling, Z. Luan, M. Chen. A new integral critic learning for optimal tracking control with applications to boiler-turbine systems. Optimal Control Applications and Methods. 2021.
14. X. Wang*, X. Cheng, J. Lu, S. Liu, Z. Zhang, Z. Liu, F.-Y. Wang. Fault diagnosis for sucker rod pumping systems: A parallel system approach. IEEE Journal of Radio Frequency Identification. 2022.
15. J. Yang, S. Li, X. Wang, J. Lu, H. Wu, X. Wang*. DeFACT in ManuVerse for parallel manufacturing: Foundation models and parallel workers in smart factories. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023.
16. X. Cheng*, X. Wang, S. Liu, J. Lu, Z. Zhang, Z. Liu, F.-Y. Wang. Optimization of sucker rod pump operations using parallel systems. IEEE Journal of Radio Frequency Identification. 2022.
17. L. Jin, J. Li, Z. Sun, J. Lu, and F.-Y. Wang*. Neural dynamics for computing perturbed nonlinear equations applied to ACP-based lower limb motion intention recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2022.
18. W. Zhong, M. Wang, Q. Wei*, J. Lu. A new neuro-optimal nonlinear tracking control method via integral reinforcement learning with applications to nuclear systems. Neurocomputing. 2022.

Conference papers

1. J. Lu, Q. Wei, T. Zhou, L. Han, F.-Y. Wang. Backstepping-based parallel control for cascaded nonlinear systems. in 2021 IEEE International Conference on Digital Twins and Parallel Intelligence. 2021.
2. J. Lu, T. Bai, Q. Wei, T. Zhou, F.-Y. Wang. Parallel control-based event-triggered optimal control for constrained discrete-time nonlinear systems. in 2021 Chinese Automation Congress. 2021.
3. J. Lu, Z. Zhang, K. Zhou, J. Mao, Y. Ma. Modeling and single neuron adaptive PID control of piezoelectric cantilever beam. in Proceedings of the 35th Chinese Control Conference. 2016.
4. Z. Zhang, J. Lu, K. Zhou, H. Sun, W. Pang. Dynamic hysteresis modeling and control of piezoelectric actuator based on $H_{\infty}$ robust disturbance observer. in Proceedings of the 35th Chinese Control Conference. 2016.

Chinese journal papers

1. 卢经纬, 郭超, 戴星原, 缪青海, 王兴霞, 杨静, 王飞跃*. 问答ChatGPT之后: 超大预训练模型的机遇和挑战. 自动化学报. 2023.
2. 卢经纬, 程相, 王飞跃*. 求解微分方程的人工智能与深度学习方法: 现状及展望. 智能科学与技术学报. 2022.
3. 卢经纬, 张臻*, 梁宇坤, 张文广. 具有尾缘襟翼风力机的恒功率反步法控制. 控制理论与应用. 2017.
4. 阳东升, 卢经纬*, 李强, 王飞跃. 超大预训练模型在指挥控制领域的应用与挑战. 指挥与控制学报. 2023.
5. 张臻*, 卢经纬, 梁宇坤. 具有尾缘襟翼的风力机动力学建模与恒功率控制. 北京航空航天大学报. 2016.
6. 魏芳, 铁铎, 卢经纬, 高诚. 数控机床负载自适应加工控制系统设计. 航空精密制造技术. 2020.
7. 金龙*, 李嘉昌, 常振强, 卢经纬, 程龙. 基于ACP 理论的微型扑翼飞行器的姿态控制. 自动化学报. 2021.
8. 廖泽华, 梁子钰*, 周天民, 卢经纬, 魏庆来. 基于平行控制的离散非线性系统的事件触发近似最优控制. 智能科学与技术学报. 2021.