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 11
Issue 7
IEEE/CAA Journal of Automatica Sinica
| Citation: | J. Lu, L. Li, Q. Wei, and F.-Y. Wang, “Deep reinforcement learning or Lyapunov analysis? A preliminary comparative study on event-triggered optimal control,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 7, pp. 1702–1704, Jul. 2024. doi: 10.1109/JAS.2024.124434
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A. Eqtami, D. V. Dimarogonas, and K. J. Kyriakopoulos, “Event-triggered control for discrete-time systems,” in Proc. Amer. Control Conf., 2010, pp. 4719–4724.
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X. Ge, S. Xiao, Q.-L. Han, X.-M. Zhang, and D. Ding, “Dynamic event-triggered scheduling and platooning control co-design for automated vehicles over vehicular ad-hoc networks,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 31–46, Jan. 2022. doi: 10.1109/JAS.2021.1004060
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I. Ahmad, X. Ge, and Q.-L. Han, “Communication-constrained active suspension control for networked in-wheel motor-driven electric vehicles with dynamic dampers,” IEEE Trans. Intell. Veh., vol. 7, no. 3, pp. 590–602, Sept. 2022. doi: 10.1109/TIV.2022.3160165
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D. Zhao and M. M. Polycarpou, “Fault accommodation for a class of nonlinear uncertain systems with event-triggered input,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 235–245, Feb. 2022. doi: 10.1109/JAS.2021.1004314
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N. Zhao, X. Zhao, N. Xu, and L. Zhang, “Resilient event-triggered control of connected automated vehicles under cyber attacks,” IEEE/ CAA J. Autom. Sinica, vol. 10, no. 12, pp. 2300–2302, Dec. 2023. doi: 10.1109/JAS.2023.123483
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L. Dong, X. Zhong, C. Sun, and H. He, “Adaptive event-triggered control based on heuristic dynamic programming for nonlinear discrete-time systems,” IEEE Trans. Neural Netw. Learn. Syst., vol. 28, no. 7, pp. 1594–1605, Jul. 2017. doi: 10.1109/TNNLS.2016.2541020
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J. Lu, Q. Wei, Z. Wang, T. Zhou, and F.-Y. Wang, “Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control,” Inf. Sci., vol. 584, pp. 519–535, Jan. 2022. doi: 10.1016/j.ins.2021.10.073
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J. Peng, B. Fan, Z. Tu, W. Zhang, and W. Liu, “Distributed periodic event-triggered optimal control of dc microgrids based on virtual incremental cost,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 4, pp. 624–634, Apr. 2022. doi: 10.1109/JAS.2022.105452
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J. Lu, Q. Wei, Y. Liu, T. Zhou, and F.-Y. Wang, “Event-triggered optimal parallel tracking control for discrete-time nonlinear systems,” IEEE Trans. Syst., Man, Cybern., Syst., vol. 52, no. 6, pp. 3772–3784, Jun. 2022. doi: 10.1109/TSMC.2021.3073429
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F.-Y. Wang, “Parallel system methods for management and control of complex systems,” Control Decis., vol. 19, no. 5, pp. 485–489, May 2004.
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J. Lu, Q. Wei, and F.-Y. Wang, “Parallel control for optimal tracking via adaptive dynamic programming,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1662–1674, Nov. 2020. doi: 10.1109/JAS.2020.1003426
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Q. Wei, H. Li, and F.-Y. Wang, “A novel parallel control method for continuous-time linear output regulation with disturbances,” IEEE Trans. Cybern., vol. 53, no. 6, pp. 3760–3770, Jun. 2023. doi: 10.1109/TCYB.2021.3128231
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J. Lu, L. Han, Q. Wei, X. Wang, X. Dai, and F.-Y. Wang, “Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving,” IEEE Trans. Intell. Veh., vol. 8, no. 4, pp. 2821–2831, Apr. 2023. doi: 10.1109/TIV.2023.3262132
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F.-Y. Wang, “New control paradigm for Industry 5.0: From big models to foundation control and management,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1643–1646, Aug. 2023. doi: 10.1109/JAS.2023.123768
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J. Lu, X. Wang, Q. Wei, and F.-Y. Wang, “Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach,” Neurocomputing, vol. 578, p. 127421, 2024. doi: 10.1016/j.neucom.2024.127421
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F.-Y. Wang, J. Zhang, X. Zheng, X. Wang, Y. Yuan, X. Dai, J. Zhang, and L. Yang, “Where does AlphaGo go: From church-turing thesis to AlphaGo thesis and beyond,” IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113–120, Apr. 2016. doi: 10.1109/JAS.2016.7471613
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J. Lu, Q. Wei, T. Zhou, Z. Wang, and F.-Y. Wang, “Event-triggered near-optimal control for unknown discrete-time nonlinear systems using parallel control,” IEEE Trans. Cybern., vol. 53, no. 3, pp. 1890–1904, Mar. 2023. doi: 10.1109/TCYB.2022.3164977
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D. Baumann, J.-J. Zhu, G. Martius, and S. Trimpe, “Deep reinforcement learning for event-triggered control,” in Proc. IEEE Conf. Decis. Control, 2018, pp. 943–950.
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R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, 2nd edition. Cambridge, USA: MIT Press, 2018.
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Z. Wang, T. Schaul, M. Hessel, H. Hasselt, M. Lanctot, and N. Freitas, “Dueling network architectures for deep reinforcement learning,” in Proc. 33rd Int. Conf. Mach. Learn., 2016, pp. 1995–2003.
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